diff --git a/answers.md b/answers.md index d125e37..032db5b 100644 --- a/answers.md +++ b/answers.md @@ -46,7 +46,7 @@ Introduce approaches (to be even developed in future works) for correcting data Clarify what measure you used to identify "smaller journals" - what is a "small journal"? What is the threshold used to differentiate it from a "big journal"? What is a "medium journal"? -*By saying this we do not refer to any previous classification made by other researchers. We defined as "smaller" those journals havng less than 10 DOIs specified in their metadata.* +*We mean those journals having a mean ad median number of articles lower than the median of the total sample. By saying this we do not refer to any previous classification made by other researchers.* Including, in the analysis, also the publication type of the citing entity could be beneficial for the discussion of the results, I believe, since you can show if there are different behaviours depending on the kind of the citing entities. diff --git a/data_viz.ipynb b/data_viz.ipynb index e7dc58e..721f4ab 100644 --- a/data_viz.ipynb +++ b/data_viz.ipynb @@ -1,24 +1,8 @@ { "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "'''\n", - "MIT License (MIT)\n", - "Copyright © 2022 Silvio Peroni, Alessandro Bertozzi, Davide Brembilla, Chiara Catizone, Constance Dami, Umut Kuçuk, Chiara Manca, Giulia Venditti\n", - "\n", - "Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n", - "\n", - "The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n", - "\n", - "THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n", - "'''" - ] - }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -52,6 +36,7 @@ " ref-undefined\n", " ref-num\n", " year\n", + " type\n", " country\n", " subject\n", " \n", @@ -59,107 +44,112 @@ " \n", " \n", " 0\n", - " 2372-0352\n", - " 10.3934/environsci.2020019\n", - " 1\n", + " 1392-1215 2029-5731\n", + " 10.5755/j01.eie.26.6.25849\n", " 1\n", " 1\n", " 0\n", - " 52\n", - " 24\n", - " 76\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", " 2020.0\n", - " US\n", - " G\n", + " journal-article\n", + " LT\n", + " STM\n", " \n", " \n", " 1\n", - " 2372-0352\n", - " 10.3934/environsci.2020024\n", - " 1\n", + " 1392-1215 2029-5731\n", + " 10.5755/j01.eie.26.6.27484\n", " 1\n", " 1\n", " 0\n", - " 11\n", - " 8\n", - " 19\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", " 2020.0\n", - " US\n", - " G\n", + " journal-article\n", + " LT\n", + " STM\n", " \n", " \n", " 2\n", - " 2372-0352\n", - " 10.3934/environsci.2020026\n", - " 1\n", + " 1392-1215 2029-5731\n", + " 10.5755/j01.eie.26.5.26012\n", " 1\n", " 1\n", " 0\n", - " 26\n", - " 23\n", - " 49\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", " 2020.0\n", - " US\n", - " G\n", + " journal-article\n", + " LT\n", + " STM\n", " \n", " \n", " 3\n", - " 2372-0352\n", - " 10.3934/environsci.2015.3.565\n", - " 1\n", + " 1392-1215 2029-5731\n", + " 10.5755/j01.eie.26.5.26002\n", " 1\n", " 1\n", " 0\n", - " 37\n", " 0\n", - " 37\n", - " 2015.0\n", - " US\n", - " G\n", + " 0\n", + " 0\n", + " 0\n", + " 2020.0\n", + " journal-article\n", + " LT\n", + " STM\n", " \n", " \n", " 4\n", - " 2372-0352\n", - " 10.3934/environsci.2021009\n", - " 1\n", + " 1392-1215 2029-5731\n", + " 10.5755/j01.eie.24.4.21482\n", " 1\n", " 1\n", - " 21\n", " 0\n", - " 19\n", - " 40\n", - " 2021.0\n", - " US\n", - " G\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 2018.0\n", + " journal-article\n", + " LT\n", + " STM\n", " \n", " \n", "\n", "" ], "text/plain": [ - " issn doi doi-num on-crossref reference \\\n", - "0 2372-0352 10.3934/environsci.2020019 1 1 1 \n", - "1 2372-0352 10.3934/environsci.2020024 1 1 1 \n", - "2 2372-0352 10.3934/environsci.2020026 1 1 1 \n", - "3 2372-0352 10.3934/environsci.2015.3.565 1 1 1 \n", - "4 2372-0352 10.3934/environsci.2021009 1 1 1 \n", + " issn doi doi-num on-crossref \\\n", + "0 1392-1215 2029-5731 10.5755/j01.eie.26.6.25849 1 1 \n", + "1 1392-1215 2029-5731 10.5755/j01.eie.26.6.27484 1 1 \n", + "2 1392-1215 2029-5731 10.5755/j01.eie.26.5.26012 1 1 \n", + "3 1392-1215 2029-5731 10.5755/j01.eie.26.5.26002 1 1 \n", + "4 1392-1215 2029-5731 10.5755/j01.eie.24.4.21482 1 1 \n", "\n", - " asserted-by-cr asserted-by-pub ref-undefined ref-num year country \\\n", - "0 0 52 24 76 2020.0 US \n", - "1 0 11 8 19 2020.0 US \n", - "2 0 26 23 49 2020.0 US \n", - "3 0 37 0 37 2015.0 US \n", - "4 21 0 19 40 2021.0 US \n", + " reference asserted-by-cr asserted-by-pub ref-undefined ref-num year \\\n", + "0 0 0 0 0 0 2020.0 \n", + "1 0 0 0 0 0 2020.0 \n", + "2 0 0 0 0 0 2020.0 \n", + "3 0 0 0 0 0 2020.0 \n", + "4 0 0 0 0 0 2018.0 \n", "\n", - " subject \n", - "0 G \n", - "1 G \n", - "2 G \n", - "3 G \n", - "4 G " + " type country subject \n", + "0 journal-article LT STM \n", + "1 journal-article LT STM \n", + "2 journal-article LT STM \n", + "3 journal-article LT STM \n", + "4 journal-article LT STM " ] }, - "execution_count": 1, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -171,8 +161,8 @@ "import country_converter as coco\n", "import pycountry_convert as pc\n", "\n", - "frame = pd.read_pickle('/Users/giuliavenditti/Desktop/data.pkl')\n", - "frame.head()" + "frame = pd.read_pickle('data.pkl')\n", + "frame.head()\n" ] }, { @@ -184,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -197,10 +187,10 @@ { "customdata": [ [ - "Percentage articles not on cross" + "Articles not on Crossref" ], [ - "Percentage articles on cross" + "Articles on Crossref" ] ], "domain": { @@ -215,8 +205,8 @@ }, "hovertemplate": "ref=%{customdata[0]}
val=%{value}", "labels": [ - "Percentage articles not on cross", - "Percentage articles on cross" + "Articles not on Crossref", + "Articles on Crossref" ], "legendgroup": "", "marker": { @@ -229,8 +219,8 @@ "showlegend": true, "type": "pie", "values": [ - 386698, - 5113401 + 384820, + 5444827 ] } ], @@ -614,10 +604,11 @@ ], "scatter": [ { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } }, "type": "scatter" } @@ -1062,8 +1053,8 @@ "font": { "size": 20 }, - "text": "Percentage of DOIs registered on Crossref", - "x": 0.5, + "text": "DOAJ articles indexed on Crossref", + "x": 0.45, "xanchor": "center", "y": 0.9 }, @@ -1081,25 +1072,26 @@ "new = pd.DataFrame()\n", "noton = totdoi - oncross\n", "new['val'] = [noton, oncross]\n", - "new['ref'] = ['Percentage articles not on cross', 'Percentage articles on cross']\n", - "fig = px.pie(new, values='val', names='ref', color='ref', color_discrete_map={\n", - " 'Percentage articles not on cross':'#34B67A',\n", - " 'Percentage articles on cross':'#471D6C'}, width=800,\n", - "title =\"Percentage of DOIs registered on Crossref\")\n", + "new['ref'] = ['Articles not on Crossref', 'Articles on Crossref']\n", + "fig = px.pie(new, values='val', names='ref',color='ref', color_discrete_map={\n", + " 'Articles not on Crossref':'#34B67A',\n", + " 'Articles on Crossref':'#471D6C'}, width=800,\n", + "title =\"DOAJ articles indexed on Crossref\")\n", "\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", + " title = {'xanchor': 'center', 'y':0.9,'x':0.45},\n", ")\n", "\n", - "fig.show()" + "fig.show()\n", + "fig.write_image(\"images/fig1.png\")" ] }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -1111,25183 +1103,12819 @@ "data": [ { "alignmentgroup": "True", - "hovertemplate": "% DOIs on Crossref=%{y}", + "box": { + "visible": false + }, + "hovertemplate": "Percentage of DOAJ DOIs on Crossref=%{y}", "legendgroup": "", "marker": { "color": "#471D6C" }, "name": "", - 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"automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of DOIs registered on Crossref - by country.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "% DOIs on Crossref" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "country-name" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame3 = frame.copy()\n", - "frame3 = frame3.groupby('country').sum()\n", - "frame3 =frame3.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame3['perc_cr'] = (frame3['on-crossref']/frame3['doi-num'])*100\n", - "frame3['country-name'] = coco.convert(names=frame3.index, to=\"name\")\n", - "continent_name = []\n", - "for x in frame3.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame3['continent'] = continent_name\n", - "\n", - "fig = px.scatter(frame3,x=\"perc_cr\",y=\"country-name\", width=800, color=\"continent\", color_discrete_map={\n", - " 'Asia' : '#34B67A',\n", - " 'Europe' : '#471D6C',\n", - " 'Africa' : '#D4E129',\n", - " 'South America' : '#25848E',\n", - " 'Oceania' : '#A6DA35',\n", - " 'North America' : '#FBE625'\n", - "},\n", - " labels={ \"country\": \"Country\", \"perc_cr\": \"% DOIs on Crossref\", \"continent\": \"Continent\" },\n", - " title=\"Percentage of DOIs registered on Crossref - by country.\")\n", - "\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - 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% DOIs on Crossref=%{y}", - "legendgroup": "Africa", - "marker": { - "color": "#D4E129", - "pattern": { - "shape": "" - } - }, - "name": "Africa", - "offsetgroup": "Africa", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Rwanda", - "Mali", - "Ghana", - "Ethiopia", - "Algeria", - "Morocco" - ], - "xaxis": "x", - "y": [ - 25, - 73.68421052631578, - 79.82062780269058, - 75.71801566579634, - 71.42857142857143, - 13.375350140056023 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Continent=North America
country-name=%{x}
% DOIs on Crossref=%{y}", - "legendgroup": "North America", - "marker": { - "color": "#FBE625", - "pattern": { - "shape": "" - } - }, - "name": "North America", - "offsetgroup": "North America", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Cuba" - ], - "xaxis": "x", - "y": [ - 6.101694915254238 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Continent=Europe
country-name=%{x}
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0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of DOIs registered on Crossref - by country.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "country-name" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "% DOIs on Crossref" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame4 = frame.copy()\n", - "frame4 = frame4.groupby('country').sum()\n", - "frame4 =frame4.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame4['perc_cr'] = (frame4['on-crossref']/frame4['doi-num'])*100\n", - "frame4['country-name'] = coco.convert(names=frame4.index, to=\"name\")\n", - "frame4 = frame4[(frame4.perc_cr < 80) & (frame4.perc_cr > 0)]\n", - "continent_name = []\n", - "for x in frame4.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame4['continent'] = continent_name\n", - "frame4 = frame4.sort_values(by=['doi-num'])\n", - "\n", - "fig = px.bar(frame4,x=\"country-name\",y='perc_cr', width=800, color=\"continent\", color_discrete_map={\n", - " 'Asia' : '#34B67A',\n", - " 'Europe' : '#471D6C',\n", - " 'Africa' : '#D4E129',\n", - " 'South America' : '#25848E',\n", - " 'Oceania' : '#A6DA35',\n", - " 'North America' : '#FBE625'\n", - "},\n", - " labels={ \"country\": \"Country\", \"perc_cr\": \"% DOIs on Crossref\", \"continent\": \"Continent\" },\n", - " title=\"Percentage of DOIs registered on Crossref - by country.\")\n", - "\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Asia
% DOIs on Crossref=%{marker.size}
Country code=%{location}", - "hovertext": [ - 1412, - 1117, - 6, - 2872, - 36639, - 296, - 116, - 2640, - 203982, - 742, - 153026, - 21649, - 77496, - 421, - 9195, - 354, - 39452, - 2496, - 1940, - 662, - 5287, - 7994, - 2730, - 1142, - 5248, - 308, - 3282, - 3392, - 50, - 2926, - 5, - 53049, - 7700, - 1090, - 643 - ], - "legendgroup": "Asia", - "locations": [ - "ARE", - "ARM", - "AZE", - "BGD", - "CHN", - "CYP", - "GEO", - "HKG", - "IDN", - "ISR", - "IND", - "IRQ", - "IRN", - "JOR", - "JPN", - "KGZ", - "KOR", - "KAZ", - "LKA", - "MNG", - "MYS", - "NPL", - "OMN", - "PHL", - "PAK", - "QAT", - "SAU", - "SGP", - "SYR", - "THA", - "TKM", - "TUR", - "TWN", - "VNM", - "YEM" - ], - "marker": { - "color": "#34B67A", - "size": [ - 96.45892351274787, - 99.91047448522829, - 0, - 98.85097493036211, - 32.541827014929446, - 89.52702702702703, - 99.13793103448276, - 99.16666666666667, - 82.71072937808238, - 100, - 91.62364565498673, - 93.55166520393551, - 20.420408795292662, - 99.2874109263658, - 81.31593257205003, - 98.58757062146893, - 96.85187062759809, - 95.67307692307693, - 99.38144329896907, - 99.8489425981873, - 98.27879704936637, - 87.30297723292469, - 99.92673992673993, - 97.72329246935202, - 89.61509146341463, - 93.83116883116884, - 99.90859232175502, - 100, - 0, - 27.306903622693095, - 0, - 92.83304115063432, - 69.24675324675324, - 89.26605504587157, - 99.22239502332815 - ], - "sizemode": "area", - "sizeref": 1, - "symbol": "circle" - }, - "mode": "markers", - "name": "Asia", - "showlegend": true, - "type": "scattergeo" - }, - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Europe
% DOIs on Crossref=%{marker.size}
Country code=%{location}", - "hovertext": [ - 581, - 7171, - 3461, - 5624, - 28518, - 5327, - 1058327, - 17553, - 143226, - 4447, - 4507, - 158522, - 9423, - 161639, - 996779, - 8085, - 9954, - 6930, - 2238, - 374, - 103077, - 31544, - 236, - 1727, - 1580, - 797, - 1044, - 64743, - 14963, - 160428, - 23911, - 21090, - 50328, - 158350, - 7085, - 10627, - 3733, - 85960 - ], - "legendgroup": "Europe", - "locations": [ - "ALB", - "AUT", - "BIH", - "BEL", - "BGR", - "BLR", - "CHE", - "CZE", - "DEU", - "DNK", - "EST", - "ESP", - "FIN", - "FRA", - "GBR", - "GRC", - "HRV", - "HUN", - "IRL", - "ISL", - "ITA", - "LTU", - "LUX", - "LVA", - "MDA", - "MNE", - "MKD", - "NLD", - "NOR", - "POL", - "PRT", - "ROU", - "SRB", - "RUS", - "SWE", - "SVN", - "SVK", - "UKR" - ], - "marker": { - "color": "#471D6C", - "size": [ - 99.65576592082617, - 52.656533258959705, - 93.96128286622364, - 98.34637268847796, - 98.3273721859878, - 56.579688379951186, - 99.87754257427054, - 99.06568677718909, - 90.93111585885244, - 60.49021812457836, - 90.21522076769469, - 87.27747568160886, - 98.68407089037461, - 99.0231317936884, - 99.47159801721345, - 75.7699443413729, - 86.3873819570022, - 99.43722943722943, - 81.36729222520107, - 98.66310160427807, - 37.88527023487296, - 98.67169667765661, - 92.37288135593221, - 99.82628836132021, - 34.810126582278485, - 96.61229611041405, - 90.13409961685824, - 95.14078742103393, - 99.85297066096372, - 92.39658912409305, - 77.4162519342562, - 78.3878615457563, - 97.00365601653155, - 85.76444584780549, - 99.26605504587155, - 96.10426272701609, - 96.67827484596839, - 89.68124709167054 - ], - "sizemode": "area", - "sizeref": 1, - "symbol": "circle" - }, - "mode": "markers", - "name": "Europe", - "showlegend": true, - "type": "scattergeo" - }, - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Africa
% DOIs on Crossref=%{marker.size}
Country code=%{location}", - "hovertext": [ - 62, - 770, - 6283, - 383, - 223, - 9, - 8304, - 510, - 1428, - 190, - 435, - 24, - 8, - 122, - 78, - 46603 - ], - "legendgroup": "Africa", - "locations": [ - "AGO", - "DZA", - "EGY", - "ETH", - "GHA", - "GMB", - "KEN", - "LBY", - "MAR", - "MLI", - "NGA", - "RWA", - "SSD", - "TUN", - "UGA", - "ZAF" - ], - "marker": { - "color": "#D4E129", - "size": [ - 87.09677419354838, - 71.42857142857143, - 96.60989972942862, - 75.71801566579634, - 79.82062780269058, - 0, - 88.64402697495183, - 86.66666666666667, - 13.375350140056023, - 73.68421052631578, - 97.47126436781609, - 25, - 100, - 0, - 98.71794871794873, - 97.86923588610176 - ], - "sizemode": "area", - "sizeref": 1, - "symbol": "circle" - }, - "mode": "markers", - "name": "Africa", - "showlegend": true, - "type": "scattergeo" - }, - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=South America
% DOIs on Crossref=%{marker.size}
Country code=%{location}", - "hovertext": [ - 16824, - 550, - 561889, - 10461, - 59902, - 8668, - 14488, - 1047, - 1895, - 1937 - ], - "legendgroup": "South America", - "locations": [ - "ARG", - "BOL", - "BRA", - "CHL", - "COL", - "ECU", - "PER", - "PRY", - "URY", - "VEN" - ], - "marker": { - "color": "#25848E", - "size": [ - 93.57465525439848, - 89.27272727272727, - 93.94061816479767, - 88.17512666093108, - 92.85499649427398, - 70.43147208121827, - 97.65323025952513, - 95.98853868194843, - 91.18733509234829, - 84.40887971089313 - ], - "sizemode": "area", - "sizeref": 1, - "symbol": "circle" - }, - "mode": "markers", - "name": "South America", - "showlegend": true, - "type": "scattergeo" - }, - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Oceania
% DOIs on Crossref=%{marker.size}
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"y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Year" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "range": [ - 50, - 110 - ], - "title": { - "text": "% DOIs on Crossref" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame8 = frame.copy()\n", - "frame8 = frame8.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame8 = frame8[(frame8.year >= 2000)&(frame8.year < 2022)]\n", - "frame8 = frame8.groupby('year').sum()\n", - "frame8['perc_cr'] = (frame8['on-crossref']/frame8['doi-num'])*100\n", - "# fig = px.bar(frame,x=frame.index,y='perc_cr')\n", - "fig = px.scatter(frame8,x=frame8.index, y='perc_cr', size='doi-num',size_max=60,width=800,\n", - " labels={ \"year\": \"Year\", \"perc_cr\": \"% DOIs on Crossref\", \"doi-num\": \"Number of DOIs\" },\n", - " title=\"Percentage of DOIs registered on Crossref - by year\")\n", - "fig.update_yaxes(range=[50, 110])\n", - 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Interessante notare il calo avito tra il 2010 e il 2015." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 2) reference on crosref doi " - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "customdata": [ - [ - "Articles without references DOI" - ], - [ - "Articles with references DOI" - ] - ], - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - }, - "hovertemplate": "ref=%{customdata[0]}
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"automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of references registered on Crossref - by country.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "% of references on Crossref" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Country" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame12 = frame.copy()\n", - "frame12 = frame12.groupby('country').sum()\n", - "frame12 =frame12.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame12['perc_ref'] = (frame12['reference']/frame12['on-crossref'])*100\n", - "frame12['country-name'] = coco.convert(names=frame12.index, to=\"name\")\n", - "continent_name = []\n", - "for x in frame12.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name) \n", - "frame12['continent'] = continent_name\n", - "fig = px.scatter(frame12,y='country-name',x='perc_ref', width=800, color=\"continent\", color_discrete_map={\n", - " 'Asia' : '#34B67A',\n", - " 'Europe' : '#471D6C',\n", - " 'Africa' : '#D4E129',\n", - " 'South America' : '#25848E',\n", - " 'Oceania' : '#A6DA35',\n", - " 'North America' : '#FBE625'\n", - "},\n", - " labels={\"country-name\": \"Country\", \"perc_ref\": \"% of references on Crossref\", \"continent\":\"Continent\" },\n", - " title=\"Percentage of references registered on Crossref - by country.\")\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=Africa
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% of references on Crossref=%{y}", - "legendgroup": "Africa", - "marker": { - "color": "#D4E129", - "pattern": { - "shape": "" - } - }, - "name": "Africa", - "offsetgroup": "Africa", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Angola" - ], - "xaxis": "x", - "y": [ - 79.62962962962963 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=Oceania
Country=%{x}
% of references on Crossref=%{y}", - "legendgroup": "Oceania", - "marker": { - "color": "#A6DA35", - "pattern": { - "shape": "" - } - }, - "name": "Oceania", - "offsetgroup": "Oceania", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Australia" - ], - "xaxis": "x", - "y": [ - 61.86651896981446 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=North America
Country=%{x}
% of references on Crossref=%{y}", - "legendgroup": "North America", - "marker": { - "color": "#FBE625", - "pattern": { - "shape": "" - } - }, - "name": "North America", - "offsetgroup": "North America", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Bahamas", - "Trinidad and Tobago", - "United States" - ], - "xaxis": "x", - "y": [ - 78.67647058823529, - 100, - 73.27851388661263 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=Europe
Country=%{x}
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] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of references registered on Crossref - by country.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Country" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "% of references on Crossref" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame13a = frame.copy()\n", - "frame13a = frame13a.groupby('country').sum()\n", - "frame13a = frame13a.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame13a['perc_ref'] = (frame13a['reference']/frame13a['on-crossref'])*100\n", - "frame13a['country-name'] = coco.convert(names=frame13a.index, to=\"name\")\n", - "frame13a = frame13a[frame13a.perc_ref > 60]\n", - "continent_name = []\n", - "for x in frame13a.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame13a['continent'] = continent_name\n", - "\n", - "fig = px.bar(frame13a,x='country-name',y='perc_ref', width=800, color=\"doi-num\", color_continuous_scale=[[0,\"#440154\"],[0.05,\"#414084\"],[0.2,\"#25848E\"], [0.5,\"#66CA5C\"],[1,\"#FBE625\"]], \n", - " labels={\"country-name\": \"Country\", \"perc_ref\": \"% of references on Crossref\", \"continent\":\"Contintent\", \"doi-num\": \"Number of DOIs\" },\n", - " title=\"Percentage of references registered on Crossref - by country.\")\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "customdata": [ - [ - "United Arab Emirates" - ], - [ - "Armenia" - ], - [ - "Bangladesh" - ], - [ - "China" - ], - [ - "Georgia" - ], - [ - "Hong Kong" - ], - [ - "Indonesia" - ], - [ - "Israel" - ], - [ - "India" - ], - [ - "Iraq" - ], - [ - "Iran" - ], - [ - "Japan" - ], - [ - "Kyrgyz Republic" - ], - [ - "South Korea" - ], - [ - "Kazakhstan" - ], - [ - "Malaysia" - ], - [ - "Nepal" - ], - [ - "Philippines" - ], - [ - "Pakistan" - ], - [ - "Qatar" - ], - [ - "Saudi Arabia" - ], - [ - "Singapore" - ], - [ - "Turkey" - ], - [ - "Taiwan" - ], - [ - "Vietnam" - ], - [ - "Yemen" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Asia
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 10065, - 541, - 307, - 299627, - 1795, - 39932, - 146880, - 1698, - 276342, - 3688, - 158519, - 157905, - 2337, - 840786, - 9094, - 19088, - 41, - 851, - 7323, - 4968, - 83305, - 83568, - 181986, - 90367, - 891, - 896 - ], - "legendgroup": "Asia", - "locations": [ - "ARE", - "ARM", - "BGD", - "CHN", - "GEO", - "HKG", - "IDN", - "ISR", - "IND", - "IRQ", - "IRN", - "JPN", - "KGZ", - "KOR", - "KAZ", - "MYS", - "NPL", - "PHL", - "PAK", - "QAT", - "SAU", - "SGP", - "TUR", - "TWN", - "VNM", - "YEM" - ], - "marker": { - "color": "#34B67A", - "size": [ - 28.928046989721, - 2.1505376344086025, - 0.49313138429024306, - 65.60429422125304, - 74.78260869565217, - 57.7922077922078, - 3.7507038496873424, - 30.862533692722373, - 7.5423656282095175, - 0.5678171135140473, - 30.679304897314374, - 77.23685970308948, - 40.68767908309456, - 80.66474744831196, - 15.996649916247907, - 8.814472671285605, - 0.01432870038687491, - 2.5985663082437274, - 4.975547522857751, - 41.522491349480966, - 85.84934431229033, - 67.68867924528303, - 13.034296505370884, - 61.121530382595644, - 3.494347379239465, - 17.86833855799373 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Asia", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Albania" - ], - [ - "Austria" - ], - [ - "Bosnia and Herzegovina" - ], - [ - "Belgium" - ], - [ - "Bulgaria" - ], - [ - "Belarus" - ], - [ - "Switzerland" - ], - [ - "Czech Republic" - ], - [ - "Germany" - ], - [ - "Denmark" - ], - [ - "Estonia" - ], - [ - "Spain" - ], - [ - "Finland" - ], - [ - "France" - ], - [ - "United Kingdom" - ], - [ - "Greece" - ], - [ - "Croatia" - ], - [ - "Hungary" - ], - [ - "Ireland" - ], - [ - "Iceland" - ], - [ - "Italy" - ], - [ - "Lithuania" - ], - [ - "Luxembourg" - ], - [ - "Latvia" - ], - [ - "Moldova" - ], - [ - "Macedonia" - ], - [ - "Netherlands" - ], - [ - "Norway" - ], - [ - "Poland" - ], - [ - "Portugal" - ], - [ - "Romania" - ], - [ - "Serbia" - ], - [ - "Russia" - ], - [ - "Sweden" - ], - [ - "Slovenia" - ], - [ - "Slovakia" - ], - [ - "Ukraine" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Europe
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 7226, - 50611, - 4986, - 15390, - 494607, - 26338, - 59138037, - 143107, - 4923825, - 2992, - 17366, - 758919, - 12950, - 1829517, - 35654152, - 11507, - 17365, - 18818, - 38546, - 36, - 300751, - 355146, - 2059, - 16806, - 4325, - 4104, - 1361862, - 29403, - 2005759, - 81765, - 36375, - 197690, - 1055715, - 65828, - 38000, - 12265, - 405395 - ], - "legendgroup": "Europe", - "locations": [ - "ALB", - "AUT", - "BIH", - "BEL", - "BGR", - "BLR", - "CHE", - "CZE", - "DEU", - "DNK", - "EST", - "ESP", - "FIN", - "FRA", - "GBR", - "GRC", - "HRV", - "HUN", - "IRL", - "ISL", - "ITA", - "LTU", - "LUX", - "LVA", - "MDA", - "MKD", - "NLD", - "NOR", - "POL", - "PRT", - "ROU", - "SRB", - "RUS", - "SWE", - "SVN", - "SVK", - "UKR" - ], - "marker": { - "color": "#471D6C", - "size": [ - 57.51295336787565, - 26.77436440677966, - 5.07380073800738, - 31.567528475863316, - 42.887200884419244, - 64.8307896483079, - 94.81235649664012, - 20.696992351486575, - 63.85589348649001, - 2.453531598513011, - 16.010821446138713, - 19.653931219914135, - 3.8068609527906228, - 73.75671623141322, - 88.81536481656299, - 7.851779301338557, - 5.198278869636004, - 9.432593237556233, - 58.92366831411312, - 0.27100271002710025, - 19.54623441141072, - 37.13734939759036, - 88.9908256880734, - 43.561484918793504, - 24.90909090909091, - 14.665249734325187, - 59.5580953617871, - 5.2606920554179775, - 39.64649531134049, - 16.83323429312301, - 5.20808129687878, - 25.52847193773044, - 34.55245640904806, - 25.991753163657044, - 9.419367472828748, - 11.055694098088113, - 22.467246076015044 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Europe", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Angola" - ], - [ - "Algeria" - ], - [ - "Egypt" - ], - [ - "Ethiopia" - ], - [ - "Ghana" - ], - [ - "Morocco" - ], - [ - "Nigeria" - ], - [ - "Uganda" - ], - [ - "South Africa" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Africa
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 1114, - 4132, - 70659, - 277, - 2622, - 404, - 2579, - 1076, - 427619 - ], - "legendgroup": "Africa", - "locations": [ - "AGO", - "DZA", - "EGY", - "ETH", - "GHA", - "MAR", - "NGA", - "UGA", - "ZAF" - ], - "marker": { - "color": "#D4E129", - "size": [ - 79.62962962962963, - 24.363636363636363, - 36.47446457990115, - 2.7586206896551726, - 52.24719101123596, - 18.32460732984293, - 24.056603773584907, - 46.75324675324675, - 25.757509318131987 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Africa", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Argentina" - ], - [ - "Bolivia" - ], - [ - "Brazil" - ], - [ - "Chile" - ], - [ - "Colombia" - ], - [ - "Ecuador" - ], - [ - "Peru" - ], - [ - "Venezuela" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=South America
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 11286, - 4245, - 7501971, - 1497, - 512681, - 6799, - 5392, - 16223 - ], - "legendgroup": "South America", - "locations": [ - "ARG", - "BOL", - "BRA", - "CHL", - "COL", - "ECU", - "PER", - "VEN" - ], - "marker": { - "color": "#25848E", - "size": [ - 2.7758368798831223, - 28.920570264765782, - 50.44805074245702, - 0.5203816131830009, - 28.895041530329724, - 3.1613431613431615, - 3.7743850720949954, - 45.015290519877674 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "South America", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Australia" - ], - [ - "New Zealand" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Oceania
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 374036, - 3903 - ], - "legendgroup": "Oceania", - "locations": [ - "AUS", - "NZL" - ], - "marker": { - "color": "#A6DA35", - "size": [ - 61.86651896981446, - 5.227427019687712 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Oceania", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Bahamas" - ], - [ - "Canada" - ], - [ - "Costa Rica" - ], - [ - "Guatemala" - ], - [ - "Mexico" - ], - [ - "Nicaragua" - ], - [ - "Panama" - ], - [ - "Trinidad and Tobago" - ], - [ - "United States" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=North America
% of references on Crossref=%{marker.size}
Country code=%{location}
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+14775,16 @@ } ], "source": [ - "frame20 = frame.copy()\n", - "frame20 = frame20.groupby('subject').sum()\n", - "frame20 =frame20.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame20['perc_ref_nodoi'] = (frame20['ref-undefined']/frame20['ref-num'])*100\n", - "frame20['perc_ref_doi'] = 100 - frame20['perc_ref_nodoi']\n", - "fig = px.histogram(frame20, x=frame20.index, y= ['perc_ref_doi', 'perc_ref_nodoi'], barmode='stack', histfunc='avg', width=800,\n", - "color_discrete_sequence= ['#471D6C', '#34B67A'] ,\n", - " labels={ \"subject\": \"Research field\", \"perc_ref_nodoi\": \"% reference without DOI\", \"perc_ref_doi\": \"% reference with DOI\"},\n", - " title=\"References DOI overview - by research field\")\n", - "\n", - "newnames = {'perc_ref_doi': \"% of DOIs' references with DOI\", 'perc_ref_nodoi': \"% of reference without DOI\"}\n", - "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", - " legendgroup = newnames[t.name],\n", - " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", - " )\n", - " )\n", - "\n", - "for idx in range(len(fig.data)):\n", - " fig.data[idx].x = ['General works','Philosophy, Psychology, Religion','Auxiliary science of History', 'World History', 'History of the Americs', 'Local History of the Americas', 'Geography, Anthropology, Recreation', 'Social Sciences', 'Political Science', 'Law', 'Education', 'Music', 'Fine Arts', 'Language and Literature', 'Science', 'Medicine', 'Agriculture', 'Technology', 'Military Science', 'Naval Science', 'Bibliography, Library Science']\n", - "\n", + "frame3 = frame.copy()\n", + "frame3['year'] = frame3['year'].apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame3 = frame3[(frame3.year >= 1950)&(frame3.year < 2022)]\n", + "frame3 = frame3.groupby('issn').sum()\n", + "frame3['perc_cr'] = (frame3['on-crossref']/frame3['doi-num'])*100\n", + "fig = px.violin(frame3, y=\"perc_cr\", points='all', width=800,\n", + "labels={ \"perc_cr\": \"Percentage of DOAJ DOIs on Crossref\" },\n", + " title=\"Distribution of DOAJ DOIs registered on Crossref.\")\n", + "fig.update_traces(marker_color='#471D6C') \n", + "fig.update_yaxes(range=[50, 100])\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", @@ -27175,7 +14796,7 @@ }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -27186,508 +14807,168 @@ }, "data": [ { - "hovertemplate": "variable=% of DOIs' references with DOI
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Country=%{x}
DOAJ articles on Crossref=%{y}", + "legendgroup": "South America", + "marker": { + "color": "#25848E", + "pattern": { + "shape": "" + } + }, + "name": "South America", + "offsetgroup": "South America", + "orientation": "v", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + "Ecuador" + ], + "xaxis": "x", + "y": [ + 70.73255010366275 ], "yaxis": "y" } ], "layout": { + "barmode": "relative", "font": { "family": "sans-serif", "size": 10 }, "legend": { "title": { - "text": "variable" + "text": "Continent" }, "tracegroupgap": 0 }, @@ -28063,10 +15344,11 @@ ], "scatter": [ { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } }, "type": "scatter" } @@ -28511,7 +15793,7 @@ "font": { "size": 20 }, - "text": "References DOI overview - by country", + "text": "DOAJ articles indexed on Crossref - by Country
The plot is showing Countries with less than 80% of articles on Crossref", "x": 0.5, "xanchor": "center", "y": 0.9 @@ -28524,7 +15806,7 @@ 1 ], "title": { - "text": "value" + "text": "Country" } }, "yaxis": { @@ -28534,7 +15816,7 @@ 1 ], "title": { - "text": "Country" + "text": "DOAJ articles on Crossref" } } } @@ -28545,22 +15827,31 @@ } ], "source": [ - "frame21 = frame.copy()\n", - "frame21 = frame21.groupby('country').sum()\n", - "frame21 =frame21.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame21['country-name'] = coco.convert(names=frame21.index, to='name')\n", - "frame21['perc_ref_nodoi'] = (frame21['ref-undefined']/frame21['ref-num'])*100\n", - "frame21['perc_ref_doi'] = 100 - frame21['perc_ref_nodoi']\n", - "fig = px.scatter(frame21, x= ['perc_ref_doi', 'perc_ref_nodoi'], y=\"country-name\", width=800, color_discrete_sequence= ['#471D6C', '#34B67A'],\n", - "labels={\"country-name\": \"Country\", 'perc_ref_doi':'% References with DOI', 'perc_ref_nodoi': '% References without DOI'},\n", - " title=\"References DOI overview - by country\")\n", + "frame4 = frame.copy()\n", + "frame4 = frame4.groupby('country').sum()\n", + "frame4 =frame4.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame4['perc_cr'] = (frame4['on-crossref']/frame4['doi-num'])*100\n", + "frame4['country-name'] = coco.convert(names=frame4.index, to=\"name\")\n", + "frame4 = frame4[(frame4.perc_cr < 80) & (frame4.perc_cr > 0)]\n", + "continent_name = []\n", + "for x in frame4.index:\n", + " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", + " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", + " continent_name.append(country_continent_name)\n", + "frame4['continent'] = continent_name\n", + "frame4 = frame4.sort_values(by=['doi-num'])\n", + "\n", + "fig = px.bar(frame4,x=\"country-name\",y='perc_cr', width=800, color=\"continent\", color_discrete_map={\n", + " 'Asia' : '#34B67A',\n", + " 'Europe' : '#471D6C',\n", + " 'Africa' : '#D4E129',\n", + " 'South America' : '#25848E',\n", + " 'Oceania' : '#A6DA35',\n", + " 'North America' : '#FBE625'\n", + "},\n", + " labels={ \"country\": \"Country\", \"perc_cr\": \"DOAJ articles on Crossref\", \"continent\": \"Continent\", \"country-name\": \"Country\" },\n", + " title=\"DOAJ articles indexed on Crossref - by Country
The plot is showing Countries with less than 80% of articles on Crossref\")\n", "\n", - "newnames = {'perc_ref_doi': \"% of DOIs' references with DOI\", 'perc_ref_nodoi': \"% of reference without DOI\"}\n", - "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", - " legendgroup = newnames[t.name],\n", - " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", - " )\n", - " )\n", "\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", @@ -28568,13 +15859,13 @@ " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", - "\n", - "fig.show()" + "fig.show()\n", + "fig.write_image(\"images/fig2_boh.png\")" ] }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -28585,325 +15876,65 @@ }, "data": [ { - "geo": "geo", - "hovertemplate": "%{hovertext}

Legend=% of references with doi
% of references with doi=%{marker.size}
Country code=%{location}", - "hovertext": [ - 10065, - 7226, - 541, - 1114, - 11286, - 50611, - 374036, - 4986, - 307, - 15390, - 494607, - 4245, - 7501971, - 4474, - 26338, - 452830, - 59138037, - 1497, - 299627, - 512681, - 827, - 143107, - 4923825, - 2992, - 4132, - 6799, - 17366, - 70659, - 758919, - 277, - 12950, - 1829517, - 35654152, - 1795, - 2622, - 11507, - 585, - 39932, - 17365, - 18818, - 146880, - 38546, - 1698, - 276342, - 3688, - 158519, - 36, - 300751, - 157905, - 2337, - 840786, - 9094, - 355146, - 2059, - 16806, - 404, - 4325, - 4104, - 45602, - 19088, - 2579, - 3639, - 1361862, - 29403, - 41, - 3903, - 47, - 5392, - 851, - 7323, - 2005759, - 81765, - 4968, - 36375, - 197690, - 1055715, - 83305, - 65828, - 83568, - 38000, - 12265, - 181986, - 49, - 90367, - 405395, - 1076, - 21127545, - 16223, - 891, - 896, - 427619 + "alignmentgroup": "True", + "hovertemplate": "Research field=%{x}
Percentage of articles indexed on Crossref=%{y}", + "legendgroup": "Social, Science and Humanities (SSH)", + "marker": { + "color": "#471D6C", + "pattern": { + "shape": "" + } + }, + "name": "Social, Science and Humanities (SSH)", + "offsetgroup": "SSH", + "orientation": "v", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + "SSH" ], - "legendgroup": "% of references with doi", - "locations": [ - "ARE", - "ALB", - "ARM", - "AGO", - "ARG", - "AUT", - "AUS", - "BIH", - "BGD", - "BEL", - "BGR", - "BOL", - "BRA", - "BHS", - "BLR", - "CAN", - "CHE", - "CHL", - "CHN", - "COL", - "CRI", - "CZE", - "DEU", - "DNK", - "DZA", - "ECU", - "EST", - "EGY", - "ESP", - "ETH", - "FIN", - "FRA", - "GBR", - "GEO", - "GHA", - "GRC", - "GTM", - "HKG", - "HRV", - "HUN", - "IDN", - "IRL", - "ISR", - "IND", - "IRQ", - "IRN", - "ISL", - "ITA", - "JPN", - "KGZ", - "KOR", - "KAZ", - "LTU", - "LUX", - "LVA", - "MAR", - "MDA", - "MKD", - "MEX", - "MYS", - "NGA", - "NIC", - "NLD", - "NOR", - "NPL", - "NZL", - "PAN", - "PER", - "PHL", - "PAK", - "POL", - "PRT", - "QAT", - "ROU", - "SRB", - "RUS", - "SAU", - "SWE", - "SGP", - "SVN", - "SVK", - "TUR", - "TTO", - "TWN", - "UKR", - "UGA", - "USA", - "VEN", - "VNM", - "YEM", - "ZAF" + "xaxis": "x", + "y": [ + 85.78301556563233 ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "Research field=%{x}
Percentage of articles indexed on Crossref=%{y}", + "legendgroup": "Science, Technology and Medicine (STM)", "marker": { - "color": "#471D6C", - "size": [ - 5.583705911574768, - 25.58815388873512, - 32.71719038817005, - 27.289048473967682, - 49.07850434166223, - 84.19513544486377, - 86.9822690863981, - 64.11953469715203, - 82.73615635179154, - 96.79012345679013, - 51.2534193814483, - 49.72909305064782, - 48.57748716970514, - 29.682610639248992, - 35.803781608322566, - 78.09376587240244, - 84.54508728451707, - 30.527722110888448, - 73.26742917026837, - 43.261014158901936, - 30.955259975816205, - 67.26854731075349, - 82.30461074469544, - 24.298128342245988, - 28.02516940948692, - 49.27195175761141, - 50.829206495450876, - 66.11330474532615, - 44.43623100752517, - 28.880866425992778, - 26.285714285714292, - 55.91530442187747, - 83.49803972339603, - 14.81894150417827, - 23.035850495804738, - 77.06613365777352, - 75.55555555555556, - 80.29399979965942, - 60, - 68.76394941013923, - 51.99414488017429, - 60.49395527421782, - 100, - 61.48540576531978, - 52.65726681127983, - 75.15187453869883, - 2.7777777777777857, - 57.87412178180621, - 75.32693708242297, - 77.7492511767223, - 80.46910866736602, - 72.28942159665714, - 62.018719062019564, - 100, - 47.81625609901226, - 27.227722772277232, - 76.23121387283237, - 68.10428849902534, - 46.06157624665585, - 48.60645431684828, - 59.32531989143079, - 28.441879637262986, - 81.2435474372587, - 63.23164302962282, - 80.48780487804878, - 47.911862669741225, - 59.57446808510639, - 47.904302670623146, - 58.1668625146886, - 48.217943465792715, - 54.33205085954992, - 59.44719623310707, - 45.390499194847024, - 56.61030927835052, - 66.69533107390359, - 53.084781404072125, - 71.46509813336534, - 45.4958376374795, - 78.53604250430787, - 69.42894736842105, - 27.818997146351407, - 46.01892453265636, - 73.46938775510205, - 76.57994621930573, - 44.944313570714975, - 51.6728624535316, - 83.14138249380133, - 38.88923133822351, - 57.91245791245791, - 100, - 45.75287814620024 - ], - "sizemode": "area", - "sizeref": 0.25, - "symbol": "circle" + "color": "#34B67A", + "pattern": { + "shape": "" + } }, - "mode": "markers", - "name": "% of references with doi", + "name": "Science, Technology and Medicine (STM)", + "offsetgroup": "STM", + "orientation": "v", "showlegend": true, - "type": "scattergeo" + "textposition": "auto", + "type": "bar", + "x": [ + "STM" + ], + "xaxis": "x", + "y": [ + 95.74967301807851 + ], + "yaxis": "y" } ], "layout": { + "barmode": "stack", "font": { "family": "sans-serif", "size": 10 }, - "geo": { - "center": {}, - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - }, - "projection": { - "type": "natural earth" - } - }, "legend": { - "itemsizing": "constant", "title": { - "text": "Legend" + "text": "Research field" }, "tracegroupgap": 0 }, @@ -29728,12 +16759,37 @@ "font": { "size": 20 }, - "text": "References DOI overview - by country", + "text": "Articles indexed on Crossref - by research field", "x": 0.5, "xanchor": "center", "y": 0.9 }, - "width": 800 + "width": 800, + "xaxis": { + "anchor": "y", + "categoryarray": [ + "SSH", + "STM" + ], + "categoryorder": "array", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Research field" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Percentage of articles indexed on Crossref" + } + } } } }, @@ -29742,41 +16798,44 @@ } ], "source": [ - "frame22 = frame.copy()\n", - "frame22 = frame22.groupby('country').sum()\n", - "frame22 =frame22.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame22['iso_alpha'] = coco.convert(names=frame22.index, to='ISO3')\n", - "frame22['country-name'] = coco.convert(names=frame22.index, to='name')\n", - "frame22['perc_ref_nodoi'] = (frame22['ref-undefined']/frame22['ref-num'])*100\n", - "frame22['perc_ref_doi'] = 100 - frame22['perc_ref_nodoi']\n", - "continent_name = []\n", - "for x in frame22.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame22['continent'] = continent_name\n", - "frame22 = frame22[frame22['perc_ref_doi'] > 0]\n", - "frame22['color'] = \"% of references with doi\"\n", - "\n", - "fig1 = px.scatter_geo(frame22, locations=\"iso_alpha\", width=800, \n", - " hover_name='ref-num', size='perc_ref_doi', color=\"color\", color_discrete_map={\"% of references with doi\": \"#471D6C\"},\n", - " projection=\"natural earth\", labels={ \"iso_alpha\": \"Country code\", 'perc_ref_doi': \"% of references with doi\", \"color\": \"Legend\" },\n", - "title=\"References DOI overview - by country\")\n", + "frame6 = frame.copy()\n", + "frame6 = frame6.groupby('subject').sum()\n", + "frame6 = frame6.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame6['perc_cr'] = (frame6['on-crossref']/frame6['doi-num'])*100\n", "\n", + "fig = px.bar(frame6, x=frame6.index, y= 'perc_cr', barmode='stack', width=800, color =frame6.index, color_discrete_sequence= ['#471D6C', '#34B67A'],\n", + " labels={ \"subject\": \"Research field\", \"perc_cr\": \"Percentage of articles indexed on Crossref\"},\n", + " title=\"Articles indexed on Crossref - by research field\")\n", "\n", - "fig1.update_layout(\n", + "# fig.data[0].x[0] = 'Social, Science and Humanities (SSH)'\n", + "# fig.data[0].x[1] = 'Science, Technology and Medicine (STM)'\n", + "lables = {'SSH': \"Social, Science and Humanities (SSH)\", 'STM': \"Science, Technology and Medicine (STM)\"}\n", + "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", + " legendgroup = newnames[t.name],\n", + " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", + " )\n", + " )\n", + "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", + " title = {'xanchor': 'center', 'y':0.9,'x':0.5})\n", + "fig.show()\n", "\n", - "fig1.show()" + "fig.write_image(\"images/fig2.png\")\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 2) Reference on crossref doi" ] }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -29787,298 +16846,14 @@ }, "data": [ { - "geo": "geo", - "hovertemplate": "%{hovertext}

Legend=% of references without doi
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val=%{value}", + "labels": [ + "Articles without reference list", + "Articles with reference list" + ], + "legendgroup": "", + "marker": { + "colors": [ + "#34B67A", + "#471D6C" + ] + }, + "name": "", + "showlegend": true, + "type": "pie", + "values": [ + 1681262, + 3762483 + ] + } + ], + "layout": { + "font": { + "family": "sans-serif", + "size": 10 }, "legend": { - "itemsizing": "constant", - "title": { - "text": "Legend" - }, "tracegroupgap": 0 }, "template": { @@ -30921,8 +17714,8 @@ "font": { "size": 20 }, - "text": "References DOI overview - by country", - "x": 0.5, + "text": "DOAJ articles on Crossref with reference list specified", + "x": 0.45, "xanchor": "center", "y": 0.9 }, @@ -30935,39 +17728,35 @@ } ], "source": [ - "frame23 = frame.copy()\n", - "frame23 = frame23.groupby('country').sum()\n", - "frame23 =frame23.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame23['iso_alpha'] = coco.convert(names=frame23.index, to='ISO3')\n", - "frame23['country-name'] = coco.convert(names=frame23.index, to='name')\n", - "frame23['perc_ref_nodoi'] = (frame23['ref-undefined']/frame23['ref-num'])*100\n", - "continent_name = []\n", - "for x in frame23.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame23['continent'] = continent_name\n", - "frame23 = frame23[frame23['perc_ref_nodoi'] > 0]\n", - "frame23['color'] = \"% of references without doi\"\n", - "frame23.head()\n", - "fig2 = px.scatter_geo(frame23, locations=\"iso_alpha\", width=800, color=\"color\", color_discrete_map={\"% of references without doi\": \"#34B67A\"},\n", - " hover_name='ref-num', size='perc_ref_nodoi',\n", - " projection=\"natural earth\", labels={ \"iso_alpha\": \"Country code\", 'perc_ref_nodoi': \"% of references without doi\", \"color\": \"Legend\" },\n", - "title=\"References DOI overview - by country\")\n", + "f = frame.copy()\n", + "f = f[f['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", + "\n", + "new = pd.DataFrame()\n", + "noton = len(f) - f['reference'].sum() \n", + "new['val'] = [noton, frame['reference'].sum() ]\n", + "new['ref'] = ['Articles without reference list', 'Articles with reference list']\n", + "\n", + "\n", + "fig = px.pie(new, values='val', names='ref', color='ref', color_discrete_map={\n", + " 'Articles without reference list':'#34B67A',\n", + " 'Articles with reference list':'#471D6C'}, width=800,\n", + "title =\"DOAJ articles on Crossref with reference list specified\")\n", "\n", - "fig2.update_layout(\n", + "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", + " title = {'xanchor': 'center', 'y':0.9,'x':0.45},\n", ")\n", "\n", - "fig2.show()" + "fig.show()\n", + "\n", + "fig.write_image(\"images/fig3.png\")" ] }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -30978,583 +17767,11798 @@ }, "data": [ { - "geo": "geo", - "hovertemplate": "%{hovertext}

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"References DOI overview - by country", + "text": "Distribution of DOAJ DOIs registered on Crossref.", "x": 0.5, "xanchor": "center", "y": 0.9 }, - "width": 800 + "violinmode": "group", + "width": 800, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ] + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "range": [ + 0, + 100 + ], + "title": { + "text": "perc_ref" + } + } } } }, @@ -32413,23 +30426,29 @@ } ], "source": [ - "fig=px.scatter_geo( title=\"References DOI overview - by country\", width=800)\n", - "fig.add_traces(fig1._data)\n", - "fig.add_traces(fig2._data)\n", - "\n", + "frame8 = frame.copy()\n", + "frame8 = frame8[frame8['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", + "frame8['year'] = frame8['year'].apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame8 = frame8[(frame8.year >= 1950)&(frame8.year < 2022)]\n", + "frame8 = frame8.groupby('issn').sum()\n", + "frame8['perc_ref'] = (frame8['reference']/frame8['on-crossref'])*100\n", + "fig = px.violin(frame8, y=\"perc_ref\", points='all', width=800,\n", + "labels={ \"perc_cr\": \"Percentage of DOAJ DOIs on Crossref\" },\n", + " title=\"Distribution of DOAJ DOIs registered on Crossref.\")\n", + "fig.update_traces(marker_color='#471D6C') \n", + "fig.update_yaxes(range=[0, 100])\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", - "\n", "fig.show()" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -32440,22 +30459,20 @@ }, "data": [ { - "alignmentgroup": "True", - "bingroup": "x", - "histfunc": "avg", - "hovertemplate": "variable=% of DOIs' references with DOI
Year=%{x}
avg of value=%{y}", - "legendgroup": "% of DOIs' references with DOI", + "hovertemplate": "variable=Percentage of references
Year=%{x}
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Year=%{x}
avg of value=%{y}", - "legendgroup": "% of reference without DOI", + "hovertemplate": "variable=Percentage of DOAJ articles
Year=%{x}
value=%{y}", + "legendgroup": "Percentage of DOAJ articles", + "line": { + "color": "#34B67A", + "dash": "solid" + }, "marker": { - "color": "#471D6C", - "pattern": { - "shape": "" - } + "symbol": "circle" }, - "name": "% of reference without DOI", - "offsetgroup": "perc_ref_nodoi", + "mode": "lines", + "name": "Percentage of DOAJ articles", "orientation": "v", "showlegend": true, - "type": "histogram", + "type": "scatter", "x": [ 1950, 1951, @@ -32700,84 +30715,83 @@ ], "xaxis": "x", "y": [ - 73.07692307692307, - 61.71428571428571, - 69.36776491540516, - 72.1868365180467, - 69.10994764397905, - 63.189448441246995, - 66.84350132625994, - 71.55361050328227, - 64.30568499534017, - 75.48231511254019, - 62.810457516339866, - 69.3737095664143, - 68.5384309040223, - 66.86046511627907, - 61.62489196197062, - 66.33540372670808, - 61.349206349206355, - 71.5381145692377, - 65.05102040816327, - 61.859107961650686, - 66.7239010989011, - 67.14668452779638, - 67.47516072472239, - 69.59229898074744, - 70.12729844413013, - 67.83505154639175, - 69.56412194507433, - 67.7956204379562, - 69.7221426525351, - 69.91602774735306, - 66.35767578566583, - 62.99446202531646, - 62.58024435700973, - 62.039723276054445, - 59.66595005787993, - 57.2829131652661, - 60.90301974448315, - 58.23542962451048, - 60.87245644367603, - 60.42774943002931, - 59.6195184866724, - 61.69380514873101, - 58.946594478978675, - 60.660367111980015, - 58.22842133864686, - 56.413596580500716, - 54.44604404692621, - 54.52184179456907, - 56.774854679411305, - 55.3037720893365, - 51.754591717062524, - 52.5146330693274, - 47.61746837050784, - 46.82953813165444, - 44.605277672235225, - 36.94619869817324, - 36.24264182676758, - 34.63386510506529, - 31.486657864214823, - 27.2736558903214, - 24.193474452362448, - 21.875186765637515, - 20.901379434069604, - 20.07246850301798, - 19.563036785405536, - 20.4618926622419, - 21.301123370388027, - 20.765694143200427, - 20.684041675844778, - 19.94456245921569, - 19.091157169028364, - 17.318830614702645 + 86.84759916492693, + 87.96992481203007, + 91.28113879003558, + 91.37645107794361, + 89.56127080181543, + 86.14357262103506, + 91.42857142857143, + 93.4959349593496, + 93.33333333333333, + 91.85580774365822, + 91.77001127395717, + 85.77680525164114, + 90.02169197396964, + 89.65141612200436, + 90.69493521790342, + 91.88571428571429, + 89.27083333333333, + 89.27165354330708, + 92.72388059701493, + 93.81270903010034, + 87.04268292682927, + 92.67277268942547, + 92.69662921348315, + 93.74478732276897, + 93.70424597364568, + 91.51689432063263, + 94.03973509933775, + 93.19767441860465, + 95.30808366308648, + 91.39722863741339, + 94.91682070240296, + 91.91616766467065, + 93.91951006124233, + 94.65553235908142, + 95.09838998211092, + 93.58879882092852, + 93.95005276116778, + 94.41641439623277, + 93.05475504322767, + 90.52880820836621, + 91.70285714285714, + 89.22849915682967, + 92.05005520794994, + 92.37690168493374, + 91.42857142857143, + 90.35752979414951, + 91.73269032035824, + 93.48513011152416, + 93.20912976852972, + 94.48182078442599, + 90.86884020470359, + 92.61773440814595, + 91.91719832927893, + 91.72778052209598, + 93.02466189339698, + 93.61500568397119, + 93.5556207561405, + 91.68979168979169, + 92.61735559199921, + 89.22529433937163, + 91.16763574402304, + 91.54152139353042, + 90.41430895639984, + 89.98339047196043, + 89.45295421168082, + 90.25388623093725, + 90.493396207157, + 91.31429582143772, + 92.9706862104344, + 94.34340132280636, + 95.41111086703424, + 96.56863678384136 ], "yaxis": "y" } ], "layout": { - "barmode": "relative", "font": { "family": "sans-serif", "size": 10 @@ -33609,7 +31623,7 @@ "font": { "size": 20 }, - "text": "References DOI overview - by year.", + "text": "Comparison between DOAJ articles on Crossref
and relative reference list presence over years.", "x": 0.5, "xanchor": "center", "y": 0.9 @@ -33632,7 +31646,7 @@ 1 ], "title": { - "text": "avg of value" + "text": "value" } } } @@ -33643,38 +31657,36 @@ } ], "source": [ - "frame24 = frame.copy()\n", - "frame24 = frame24.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame24 = frame24[(frame24.year >= 1950)&(frame24.year < 2022)]\n", - "frame24 = frame24.groupby('year').sum()\n", - "frame24['perc_ref_nodoi'] = (frame24['ref-undefined']/frame24['ref-num'])*100\n", - "frame24['perc_ref_doi'] = 100 - frame24['perc_ref_nodoi']\n", - "fig = px.histogram(frame24, x=frame24.index, y= ['perc_ref_doi', 'perc_ref_nodoi'], histfunc='avg', color_discrete_map={\n", - " 'perc_ref_doi':'#34B67A',\n", - " 'perc_ref_nodoi':'#471D6C'}, width=800,\n", - " labels={'year':'Year'},\n", - "title=\"References DOI overview - by year.\")\n", + "frame9 = frame.copy()\n", + "frame9 = frame9.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame9 = frame9[(frame9.year >= 1950)&(frame9.year < 2022)]\n", + "frame9 = frame9.groupby('year').sum()\n", + "frame9['perc_ref'] = (frame9['reference']/frame9['on-crossref'])*100\n", + "frame9['perc_cr'] = (frame9['on-crossref']/frame9['doi-num'])*100\n", + "fig = px.line(frame9,x=frame9.index,y=['perc_ref', 'perc_cr'],width=800,\n", + " labels={ \"year\": \"Year\" }, color_discrete_sequence= ['#471D6C', '#34B67A'] ,\n", + " title=\"Comparison between DOAJ articles on Crossref
and relative reference list presence over years.\")\n", "\n", - "newnames = {'perc_ref_doi': \"% of DOIs' references with DOI\", 'perc_ref_nodoi': \"% of reference without DOI\"}\n", + "newnames = {'perc_ref': \"Percentage of references\", 'perc_cr': \"Percentage of DOAJ articles\"}\n", "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", " legendgroup = newnames[t.name],\n", " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", " )\n", " )\n", - "\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", + "fig.show()\n", "\n", - "fig.show()" + "fig.write_image(\"images/fig4.png\")" ] }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -33685,339 +31697,64 @@ }, "data": [ { - "hovertemplate": "variable=% of reference without DOI
Year=%{x}
value=%{y}", - "legendgroup": "% of reference without DOI", - "line": { - "color": "#471D6C", - "dash": "solid" - }, + "alignmentgroup": "True", + "bingroup": "x", + "histfunc": "avg", + "hovertemplate": "variable=Percentage of articles with reference list
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value=%{y}", - "legendgroup": "% of DOIs' references with DOI", - "line": { - "color": "#34B67A", - "dash": "solid" - }, + "alignmentgroup": "True", + "bingroup": "x", + "histfunc": "avg", + "hovertemplate": "variable=Percentage of articles without reference list
Research field=%{x}
avg of value=%{y}", + "legendgroup": "Percentage of articles without reference list", "marker": { - "symbol": "circle" + "color": "#34B67A", + "pattern": { + "shape": "" + } }, - "mode": "lines", - "name": "% of DOIs' references with DOI", + "name": "Percentage of articles without reference list", + "offsetgroup": "perc_ref_nodoi", "orientation": "v", "showlegend": true, - "type": "scatter", + "type": "histogram", "x": [ - 1950, - 1951, - 1952, - 1953, - 1954, - 1955, - 1956, - 1957, - 1958, - 1959, - 1960, - 1961, - 1962, - 1963, - 1964, - 1965, - 1966, - 1967, - 1968, - 1969, - 1970, - 1971, - 1972, - 1973, - 1974, - 1975, - 1976, - 1977, - 1978, - 1979, - 1980, - 1981, - 1982, - 1983, - 1984, - 1985, - 1986, - 1987, - 1988, - 1989, - 1990, - 1991, - 1992, - 1993, - 1994, - 1995, - 1996, - 1997, - 1998, - 1999, - 2000, - 2001, - 2002, - 2003, - 2004, - 2005, - 2006, - 2007, - 2008, - 2009, - 2010, - 2011, - 2012, - 2013, - 2014, - 2015, - 2016, - 2017, - 2018, - 2019, - 2020, - 2021 + "SSH", + "STM" ], "xaxis": "x", "y": [ - 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by research field", "x": 0.5, "xanchor": "center", "y": 0.9 @@ -34861,7 +32599,7 @@ 1 ], "title": { - "text": "Year" + "text": "Research field" } }, "yaxis": { @@ -34871,7 +32609,7 @@ 1 ], "title": { - "text": "value" + "text": "avg of value" } } } @@ -34882,19 +32620,17 @@ } ], "source": [ - "frame25 = frame.copy()\n", - "frame25 = frame25.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame25 = frame25[(frame25.year >= 1950)&(frame25.year < 2022)]\n", - "frame25 = frame25.groupby('year').sum()\n", - "frame25['perc_ref_nodoi'] = (frame25['ref-undefined']/frame25['ref-num'])*100\n", - "frame25['perc_ref_doi'] = 100 - frame25['perc_ref_nodoi']\n", - "fig = px.line(frame25,x=frame25.index,y=['perc_ref_nodoi', 'perc_ref_doi'], color_discrete_map={\n", - " 'perc_ref_doi':'#34B67A',\n", - " 'perc_ref_nodoi':'#471D6C'}, width=800,\n", - " labels={'year':'Year'},\n", - " title=\"References DOI overview - by year.\")\n", + "frame10 = frame.copy()\n", + "frame10 = frame10.groupby('subject').sum()\n", + "frame10 =frame10.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame10['perc_ref_nodoi'] = (frame10['ref-undefined']/frame10['ref-num'])*100\n", + "frame10['perc_ref_doi'] = 100 - frame10['perc_ref_nodoi']\n", + "fig = px.histogram(frame10, x=frame10.index, y= ['perc_ref_doi', 'perc_ref_nodoi'], barmode='stack', histfunc='avg', width=800,\n", + "color_discrete_sequence= ['#471D6C', '#34B67A'] ,\n", + " labels={ \"subject\": \"Research field\", \"perc_ref_nodoi\": \"% reference without DOI\", \"perc_ref_doi\": \"% reference with DOI\"},\n", + " title=\"Crossref references list overview - by research field\")\n", "\n", - "newnames = {'perc_ref_doi': \"% of DOIs' references with DOI\", 'perc_ref_nodoi': \"% of reference without DOI\"}\n", + "newnames = {'perc_ref_doi': \"Percentage of articles with reference list\", 'perc_ref_nodoi': \"Percentage of articles without reference list\"}\n", "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", " legendgroup = newnames[t.name],\n", " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", @@ -34907,19 +32643,14 @@ " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4) asserted-by crossref / asserted-by publisher" + "fig.show()\n", + "\n", + "fig.write_image(\"images/fig5.png\")" ] }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -34930,52 +32661,167 @@ }, "data": [ { - "customdata": [ + "alignmentgroup": "True", + "hovertemplate": "Country=%{x}
Percentage of references on Crossref=%{y}
Number of references=%{marker.color}", + "legendgroup": "", + "marker": { + "color": [ + 744, + 29517, + 5648, + 307, + 15635, + 1156, + 3037, + 25068, + 17385, + 277, + 27614, + 585, + 30492, + 21559, + 199712, + 6495, + 36, + 4768, + 404, + 4194, + 80385, + 22101, + 3652, + 41, + 5673, + 47, + 9064, + 952, + 89384, + 72750, + 39875, + 777, + 312, + 891, + 898 + ], + "coloraxis": "coloraxis", + "pattern": { + "shape": "" + } + }, + "name": "", + "offsetgroup": "", + "orientation": "v", + "showlegend": false, + "textposition": "auto", + "type": "bar", + "x": [ + "Armenia", + "Argentina", + "Bosnia and Herzegovina", + "Bangladesh", + "Chile", + "Costa Rica", + "Denmark", + "Ecuador", + "Estonia", + "Ethiopia", + "Finland", + "Guatemala", + "Croatia", + "Hungary", + "Indonesia", + "Iraq", + "Iceland", + "Kenya", + "Morocco", + "Macedonia", + "Mexico", + "Malaysia", + "Nicaragua", + "Nepal", + "New Zealand", + "Panama", + "Peru", + "Philippines", + "Portugal", + "Romania", + "Slovenia", + "Thailand", + "Uruguay", + "Vietnam", + "Yemen" + ], + "xaxis": "x", + "y": [ + 3.056768558951965, + 5.902842570131243, + 5.420219244823386, + 0.4905395935529082, + 8.594933968391427, + 0.7939170300793916, + 2.488855869242199, + 13.564566031590946, + 15.967623252391464, + 2.7586206896551726, + 10.70181009844395, + 5.691056910569105, + 13.008880175296966, + 11.004784688995215, + 5.061054268497411, + 0.9269704252292904, + 0.2557544757033248, + 4.978296256104178, + 18.32460732984293, + 15.409139213602552, + 16.82590537216088, + 11.381490707031999, + 19.765739385065885, + 0.01432870038687491, + 7.128309572301425, + 0.3048780487804878, + 4.897614523960312, + 2.8268551236749118, + 18.460380604236104, + 16.106851649020324, + 9.724663151728178, + 7.493857493857494, + 0.7008086253369272, + 3.494347379239465, + 18.025078369905955 + ], + "yaxis": "y" + } + ], + "layout": { + "barmode": "relative", + "coloraxis": { + "colorbar": { + "title": { + "text": "Number of references" + } + }, + "colorscale": [ [ - "Asserted by Crossref" + 0, + "#440154" ], [ - "Asserted by citing publisher" + 0.05, + "#414084" ], [ - "Missing/undefined doi" - ] - ], - "domain": { - "x": [ - 0, - 1 + 0.2, + "#25848E" ], - "y": [ - 0, - 1 - ] - }, - "hovertemplate": "ref=%{customdata[0]}
val=%{value}", - "labels": [ - "Asserted by Crossref", - "Asserted by citing publisher", - "Missing/undefined doi" - ], - "legendgroup": "", - "marker": { - "colors": [ - "#34B67A", - "#471D6C", - "#D4E129" + [ + 0.5, + "#66CA5C" + ], + [ + 1, + "#FBE625" ] - }, - "name": "", - "showlegend": true, - "type": "pie", - "values": [ - 31183767, - 82242320, - 28723618 ] - } - ], - "layout": { + }, "font": { "family": "sans-serif", "size": 10 @@ -35355,10 +33201,11 @@ ], "scatter": [ { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } }, "type": "scatter" } @@ -35803,12 +33650,32 @@ "font": { "size": 20 }, - "text": "Percentage of DOIs registered on Crossref", + "text": "Crossref references list overview - by country
The plot is showing Countries with less than 20% of reference list on Crossref", "x": 0.5, "xanchor": "center", "y": 0.9 }, - "width": 800 + "width": 800, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Country" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Percentage of references on Crossref" + } + } } } }, @@ -35817,35 +33684,44 @@ } ], "source": [ - "totdoi = len(frame)\n", - "oncross = frame['on-crossref'].sum()\n", - "ass_cross = frame['asserted-by-cr'].sum()\n", - "ass_pub = frame['asserted-by-pub'].sum()\n", - "und = frame['ref-undefined'].sum()\n", - "ass_cross, ass_pub\n", + "frame12 = frame.copy()\n", + "frame12 = frame12.groupby('country').sum()\n", + "frame12 = frame12.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame12['perc_ref'] = (frame12['reference']/frame12['on-crossref'])*100\n", + "frame12['country-name'] = coco.convert(names=frame12.index, to=\"name\")\n", + "frame12 = frame12[ (frame12.perc_ref < 20) & (frame12.perc_ref > 0)]\n", + "continent_name = []\n", + "for x in frame12.index:\n", + " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", + " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", + " continent_name.append(country_continent_name)\n", + "frame12['continent'] = continent_name\n", "\n", + "fig = px.bar(frame12,x='country-name',y='perc_ref', width=800, color=\"ref-num\", color_continuous_scale=[[0,\"#440154\"],[0.05,\"#414084\"],[0.2,\"#25848E\"], [0.5,\"#66CA5C\"],[1,\"#FBE625\"]], \n", + " labels={\"country-name\": \"Country\", \"perc_ref\": \"Percentage of references on Crossref\", \"continent\":\"Contintent\", \"ref-num\": \"Number of references\" },\n", + " title=\"Crossref references list overview - by country
The plot is showing Countries with less than 20% of reference list on Crossref\")\n", "\n", - "new = pd.DataFrame()\n", - "new['val'] = [ass_cross, ass_pub, und]\n", - "new['ref'] = ['Asserted by Crossref', 'Asserted by citing publisher', 'Missing/undefined doi']\n", - "fig = px.pie(new, values='val', names='ref', color='ref', color_discrete_map={\n", - " 'Asserted by Crossref':'#34B67A',\n", - " 'Asserted by citing publisher':'#471D6C',\n", - " 'Missing/undefined doi':'#D4E129'}, width=800,\n", - "title =\"Percentage of DOIs registered on Crossref\")\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", + "fig.show()\n", "\n", - "fig.show()" + "fig.write_image(\"images/fig6.png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3) Reference that have doi specified" ] }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -35856,211 +33732,51 @@ }, "data": [ { - "alignmentgroup": "True", - "hovertemplate": "variable=% of references DOI asserted by Crossref
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value=%{y}", - "legendgroup": "% of reference without DOI", + "legendgroup": "", "marker": { - "color": "#471D6C", - "pattern": { - "shape": "" - } + "colors": [ + "#34B67A", + "#471D6C" + ] }, - "name": "% of reference without DOI", - "offsetgroup": "perc_ref_nodoi", - "orientation": "v", + "name": "", "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "General works", - "Philosophy, Psychology, Religion", - "Auxiliary science of History", - "World History", - "History of the Americs", - "Local History of the Americas", - "Geography, Anthropology, Recreation", - "Social Sciences", - "Political Science", - "Law", - "Education", - "Music", - "Fine Arts", - "Language and Literature", - "Science", - "Medicine", - "Agriculture", - "Technology", - "Military Science", - "Naval Science", - "Bibliography, Library Science" - ], - "xaxis": "x", - "y": [ - 43.240056075789106, - 36.22602647732254, - 68.04839968774395, - 82.47070642671535, - 37.21221613155834, - 79.85656013268188, - 36.853973683960646, - 50.69086212788494, - 64.9457488154182, - 66.56922269694925, - 54.55489066300431, - 59.98529257274924, - 69.6467342507795, - 61.21947988508126, - 14.464265111543714, - 15.954759935261507, - 27.07849374808512, - 24.732223490360887, - 68.56279889252454, - 32.58985082279799, - 61.910580793559525 - ], - "yaxis": "y" + "type": "pie", + "values": [ + 128826363, + 33952118 + ] } ], "layout": { - "barmode": "relative", "font": { "family": "sans-serif", "size": 10 }, "legend": { - "title": { - "text": "variable" - }, "tracegroupgap": 0 }, "template": { @@ -36884,32 +34600,12 @@ "font": { "size": 20 }, - "text": "Reference assertion overviwe - by research field.", + "text": "References DOI overview", "x": 0.5, "xanchor": "center", "y": 0.9 }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Research field" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "value" - } - } + "width": 800 } } }, @@ -36918,40 +34614,35 @@ } ], "source": [ - "frame26 = frame.copy()\n", - "frame26 = frame26.groupby('subject').sum()\n", - "frame26 =frame26.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame26['perc_asserted_cr'] = (frame26['asserted-by-cr']/frame26['ref-num'])*100\n", - "frame26['perc_asserted_pub'] = (frame26['asserted-by-pub']/frame26['ref-num'])*100\n", - "frame26['perc_ref_nodoi'] = (frame26['ref-undefined']/frame26['ref-num'])*100\n", - "fig = px.bar(frame26, x=frame26.index, y= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'],color_discrete_map={\n", - " 'perc_asserted_cr':'#34B67A',\n", - " 'perc_ref_nodoi':'#471D6C',\n", - " 'perc_asserted_pub':'#D4E129'}, width=800,\n", - "labels={ \"subject\": \"Research field\"},\n", - "title = \"Reference assertion overviwe - by research field.\")\n", + "f = frame.copy()\n", + "f = f[f['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", "\n", - "newnames = {'perc_asserted_pub': '% references DOI asserted by publishers', 'perc_asserted_cr': \"% of references DOI asserted by Crossref\", 'perc_ref_nodoi': \"% of reference without DOI\"}\n", - "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", - " legendgroup = newnames[t.name],\n", - " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", - " )\n", - " )\n", + "ref_defined = f['ref-num']-f['ref-undefined']\n", + "ref_defined = ref_defined.sum()\n", + "ref_undefined = f['ref-undefined'].sum()\n", + "\n", + "new = pd.DataFrame()\n", + "new['val'] = [ref_defined, ref_undefined]\n", + "new['ref'] = ['Reference with DOI', 'Reference without DOI']\n", + "\n", + "fig = px.pie(new, values='val', names='ref', color='ref', color_discrete_map={\n", + " 'Reference with DOI':'#34B67A',\n", + " 'Reference without DOI':'#471D6C'}, width=800,\n", + "title =\"References DOI overview\")\n", "\n", - "for idx in range(len(fig.data)):\n", - " fig.data[idx].x = ['General works','Philosophy, Psychology, Religion','Auxiliary science of History', 'World History', 'History of the Americs', 'Local History of the Americas', 'Geography, Anthropology, Recreation', 'Social Sciences', 'Political Science', 'Law', 'Education', 'Music', 'Fine Arts', 'Language and Literature', 'Science', 'Medicine', 'Agriculture', 'Technology', 'Military Science', 'Naval Science', 'Bibliography, Library Science']\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", + "\n", "fig.show()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -36962,185 +34653,334 @@ }, "data": [ { - "hovertemplate": "variable=perc_asserted_cr
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"fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } }, "type": "scatter" } @@ -37976,11 +35817,12 @@ "font": { "size": 20 }, - "text": "Reference assertion overviwe - by research field.", - "x": 0.5, + "text": "References DOI overview over years.", + "x": 0.45, "xanchor": "center", "y": 0.9 }, + "width": 800, "xaxis": { "anchor": "y", "domain": [ @@ -37988,7 +35830,7 @@ 1 ], "title": { - "text": "value" + "text": "Year" } }, "yaxis": { @@ -37998,7 +35840,7 @@ 1 ], "title": { - "text": "Research field" + "text": "value" } } } @@ -38009,30 +35851,39 @@ } ], "source": [ - "frame = frame.groupby('subject').sum()\n", - "frame =frame.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame['perc_asserted_cr'] = (frame['asserted-by-cr']/frame['ref-num'])*100\n", - "frame['perc_asserted_pub'] = (frame['asserted-by-pub']/frame['ref-num'])*100\n", - "frame['perc_ref_nodoi'] = (frame['ref-undefined']/frame['ref-num'])*100\n", - "fig = px.scatter(frame, x= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'], y=frame.index,\n", - "labels={ \"subject\": \"Research field\"},\n", - "title = \"Reference assertion overviwe - by research field.\")\n", + "frame14 = frame.copy()\n", + "frame14 = frame14[frame14['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", + "frame14 = frame14.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame14 = frame14[(frame14.year >= 1950)&(frame14.year < 2022)]\n", + "frame14 = frame14.groupby('year').sum()\n", + "frame14['perc_ref_nodoi'] = (frame14['ref-undefined']/frame14['ref-num'])*100\n", + "frame14['perc_ref_doi'] = 100 - frame14['perc_ref_nodoi']\n", + "fig = px.line(frame14,x=frame14.index,y=['perc_ref_nodoi', 'perc_ref_doi'], color_discrete_map={\n", + " 'perc_ref_doi':'#34B67A',\n", + " 'perc_ref_nodoi':'#471D6C'}, width=800,\n", + " labels={'year':'Year'},\n", + " title=\"References DOI overview over years.\")\n", "\n", - "for idx in range(len(fig.data)):\n", - " fig.data[idx].y = ['General works','Philosophy, Psychology, Religion','Auxiliary science of History', 'World History', 'History of the Americs', 'Local History of the Americas', 'Geography, Anthropology, Recreation', 'Social Sciences', 'Political Science', 'Law', 'Education', 'Music', 'Fine Arts', 'Language and Literature', 'Science', 'Medicine', 'Agriculture', 'Technology', 'Military Science', 'Naval Science', 'Bibliography, Library Science']\n", + "newnames = {'perc_ref_doi': \"Percentage of reference lists with DOI\", 'perc_ref_nodoi': \"Percentage of reference lists without DOI\"}\n", + "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", + " legendgroup = newnames[t.name],\n", + " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", + " )\n", + " )\n", "\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", + " title = {'xanchor': 'center', 'y':0.9,'x':0.45},\n", ")\n", - "fig.show()" + "fig.show()\n", + "fig.write_image(\"images/fig8.png\")" ] }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -38043,748 +35894,78 @@ }, "data": [ { - "hovertemplate": "variable=perc_asserted_cr
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"Turkey", - "Trinidad and Tobago", - "Taiwan", - "Ukraine", - "Uganda", - "United States", - "Uruguay", - "Venezuela", - "Vietnam", - "Yemen", - "South Africa" + 54.35988899293244, + 59.26160472083973, + 81.44281845888804, + 83.15857750350172, + 85.9341981612876, + 48.642637739302984 ], "yaxis": "y" } ], "layout": { + "barmode": "relative", "font": { "family": "sans-serif", "size": 10 @@ -39616,11 +36797,12 @@ "font": { "size": 20 }, - "text": "Percentage of DOIs registered on Crossref - by country.", + "text": "Refeerences DOI overview - by continent", "x": 0.5, "xanchor": "center", "y": 0.9 }, + "width": 800, "xaxis": { "anchor": "y", "domain": [ @@ -39628,7 +36810,7 @@ 1 ], "title": { - "text": "value" + "text": "Continent" } }, "yaxis": { @@ -39638,7 +36820,7 @@ 1 ], "title": { - "text": "Country" + "text": "value" } } } @@ -39649,38 +36831,55 @@ } ], "source": [ - "frame = frame.groupby('country').sum()\n", - "frame =frame.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame['perc_asserted_cr'] = (frame['asserted-by-cr']/frame['ref-num'])*100\n", - "frame['perc_asserted_pub'] = (frame['asserted-by-pub']/frame['ref-num'])*100\n", - "frame['perc_ref_nodoi'] = (frame['ref-undefined']/frame['ref-num'])*100\n", - "frame['country-name'] = coco.convert(names=frame.index, to='name')\n", - "continent_name = []\n", + "frame15 = frame.copy()\n", + "frame15 = frame15[frame15['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", + "frame15 = frame15.groupby('country').sum()\n", "\n", - "for x in frame.index:\n", + "frame15['country-name'] = coco.convert(names=frame15.index, to='name')\n", + "continent_name = []\n", + "for x in frame15.index:\n", " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", " continent_name.append(country_continent_name)\n", - "frame['continent'] = continent_name\n", + "frame15['continent'] = continent_name\n", + "frame15 = frame15.groupby('continent').sum()\n", + "frame15 =frame15.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame15['perc_ref_nodoi'] = (frame15['ref-undefined']/frame15['ref-num'])*100\n", + "frame15['perc_ref_doi'] = 100 - frame15['perc_ref_nodoi']\n", "\n", - "fig = px.scatter(frame, x= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'], y=\"country-name\", \n", - " labels={ \"country-name\": \"Country\", \"perc_cr\": \"% DOIs on Crossref\" },\n", - " title=\"Percentage of DOIs registered on Crossref - by country.\")\n", + "fig = px.bar(frame15, x =frame15.index, y=['perc_ref_nodoi', 'perc_ref_doi'], color_discrete_map={\n", + " 'perc_ref_nodoi':'#34B67A',\n", + " 'perc_ref_doi':'#471D6C'}, width=800,\n", + " labels={ 'continent' : \"Continent\"},\n", + " title=\"Refeerences DOI overview - by continent\")\n", "\n", - "# fig.update_traces(marker_color='continent', marker_line_color='rgb(0, 224, 198)',\n", - "# marker_line_width=1.5, opacity=0.8)\n", + "newnames = {'perc_ref_doi': \"Percentage of reference lists with DOI\", 'perc_ref_nodoi': \"Percentage of reference lists without DOI\"}\n", + "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", + " legendgroup = newnames[t.name],\n", + " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", + " )\n", + " )\n", + " \n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", - "fig.show()" + "fig.show()\n", + "fig.write_image(\"images/fig9.png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4) asserted-by crossref / asserted-by publisher" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -39691,295 +36890,17 @@ }, "data": [ { - "geo": "geo", - "hovertemplate": "%{hovertext}

Legend=% of references dois asserted by Crossref
perc_asserted_cr=%{marker.size}
Country code=%{location}", - "hovertext": [ - 10065, - 7226, - 541, - 1114, - 11286, - 50611, - 374036, - 4986, - 307, - 15390, - 494607, - 4245, - 7501971, - 4474, - 26338, - 452830, - 59138037, - 1497, - 299627, - 512681, - 827, - 143107, - 4923825, - 2992, - 4132, - 6799, - 17366, - 70659, - 758919, - 277, - 12950, - 1829517, - 35654152, - 1795, - 2622, - 11507, - 585, - 39932, - 17365, - 18818, - 146880, - 38546, - 276342, - 3688, - 158519, - 36, - 300751, - 157905, - 2337, - 840786, - 9094, - 355146, - 16806, - 404, - 4325, - 4104, - 45602, - 19088, - 2579, - 1361862, - 29403, - 41, - 3903, - 47, - 5392, - 851, - 7323, - 2005759, - 81765, - 4968, - 36375, - 197690, - 1055715, - 83305, - 65828, - 83568, - 38000, - 12265, - 181986, - 49, - 90367, - 405395, - 1076, - 21127545, - 16223, - 891, - 427619 - ], - "legendgroup": "% of references dois asserted by Crossref", - "locations": [ - "ARE", - "ALB", - "ARM", - "AGO", - "ARG", - "AUT", - "AUS", - "BIH", - "BGD", - "BEL", - "BGR", - "BOL", - "BRA", - "BHS", - "BLR", - "CAN", - "CHE", - "CHL", - "CHN", - "COL", - "CRI", - "CZE", - "DEU", - "DNK", - "DZA", - "ECU", - "EST", - "EGY", - "ESP", - "ETH", - "FIN", - "FRA", - "GBR", - "GEO", - "GHA", - "GRC", - "GTM", - "HKG", - "HRV", - "HUN", - "IDN", - "IRL", - "IND", - "IRQ", - "IRN", - "ISL", - "ITA", - "JPN", - "KGZ", - "KOR", - "KAZ", - "LTU", - "LVA", - "MAR", - "MDA", - "MKD", - "MEX", - "MYS", - "NGA", - "NLD", - "NOR", - "NPL", - "NZL", - "PAN", - "PER", - "PHL", - "PAK", - "POL", - "PRT", - "QAT", - "ROU", - "SRB", - "RUS", - "SAU", - "SWE", - "SGP", - "SVN", - "SVK", - "TUR", - "TTO", - "TWN", - "UKR", - "UGA", - "USA", - "VEN", - "VNM", - "ZAF" + "customdata": [ + [ + "Asserted by Crossref" + ], + [ + "Asserted by citing publisher" + ], + [ + "Missing/undefined doi" + ] ], - "marker": { - "color": "#471D6C", - "size": [ - 5.583705911574764, - 21.782452255743152, - 5.730129390018484, - 2.423698384201077, - 14.132553606237815, - 2.7997866076544624, - 19.610679185960713, - 49.67910148415564, - 3.908794788273615, - 9.480181936322287, - 6.671761620842406, - 6.313309776207303, - 47.561274230465564, - 0.13410818059901655, - 26.205482572708632, - 6.227281761367401, - 3.624782134719825, - 22.044088176352705, - 54.742396379498516, - 22.220640125146048, - 4.594921402660217, - 2.15223573969128, - 56.87411717516362, - 24.298128342245988, - 28.02516940948693, - 1.4413884394763936, - 35.63284579062536, - 65.87837359713554, - 18.72927150328296, - 28.880866425992778, - 23.166023166023166, - 46.50118036618408, - 14.620712336672598, - 0.5571030640668524, - 6.064073226544623, - 60.55444512036152, - 68.37606837606837, - 74.4941400380647, - 21.295709761013534, - 12.663407375916675, - 5.793845315904139, - 60.48098375966377, - 20.893313358085273, - 49.34924078091106, - 14.747758943722836, - 2.7777777777777777, - 40.4869809244192, - 58.77584623666129, - 77.74925117672228, - 30.825322971600382, - 66.47239938420937, - 14.706064548101343, - 7.6758300606926095, - 5.693069306930694, - 1.9884393063583816, - 68.10428849902534, - 22.742423577913247, - 11.179798826487845, - 59.32531989143078, - 72.50734655934302, - 27.510798217868924, - 7.317073170731707, - 28.695874967973356, - 14.893617021276595, - 5.841988130563798, - 58.1668625146886, - 11.416086303427557, - 50.92994721698868, - 42.42646609184859, - 6.743156199677938, - 43.30171821305842, - 27.86129799180535, - 43.391066717816834, - 68.62013084448712, - 17.30418666828705, - 12.569404556768141, - 52.378947368421045, - 23.310232368528332, - 40.8383062433374, - 12.244897959183673, - 73.56225170692842, - 10.662687008966563, - 0.09293680297397769, - 58.564509033112934, - 17.160821056524686, - 57.91245791245792, - 4.391526101506248 - ], - "sizemode": "area", - "sizeref": 0.1943731279418057, - "symbol": "circle" - }, - "mode": "markers", - "name": "% of references dois asserted by Crossref", - "showlegend": true, - "type": "scattergeo" - } - ], - "layout": { - "font": { - "family": "sans-serif", - "size": 10 - }, - "geo": { - "center": {}, "domain": { "x": [ 0, @@ -39990,15 +36911,36 @@ 1 ] }, - "projection": { - "type": "natural earth" - } + "hovertemplate": "ref=%{customdata[0]}
val=%{value}", + "labels": [ + "Asserted by Crossref", + "Asserted by citing publisher", + "Missing/undefined doi" + ], + "legendgroup": "", + "marker": { + "colors": [ + "#34B67A", + "#471D6C", + "#D4E129" + ] + }, + "name": "", + "showlegend": true, + "type": "pie", + "values": [ + 42022592, + 86803771, + 33952118 + ] + } + ], + "layout": { + "font": { + "family": "sans-serif", + "size": 10 }, "legend": { - "itemsizing": "constant", - "title": { - "text": "Legend" - }, "tracegroupgap": 0 }, "template": { @@ -40822,7 +37764,7 @@ "font": { "size": 20 }, - "text": "References DOI assertion overview - by country", + "text": "Percentage of DOIs registered on Crossref", "x": 0.5, "xanchor": "center", "y": 0.9 @@ -40836,41 +37778,36 @@ } ], "source": [ - "frame22a = frame.copy()\n", - "frame22a = frame22a.groupby('country').sum()\n", - "frame22a =frame22a.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame22a['iso_alpha'] = coco.convert(names=frame22a.index, to='ISO3')\n", - "frame22a['country-name'] = coco.convert(names=frame22a.index, to='name')\n", - "\n", - "frame22a['perc_asserted_cr'] = (frame22a['asserted-by-cr']/frame22a['ref-num'])*100\n", - "continent_name = []\n", - "for x in frame22a.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame22a['continent'] = continent_name\n", - "frame22a = frame22a[frame22a['perc_asserted_cr'] > 0]\n", - "frame22a['color'] = \"% of references dois asserted by Crossref\"\n", - "\n", - "fig1 = px.scatter_geo(frame22a, locations=\"iso_alpha\", width=800, \n", - " hover_name='ref-num', size='perc_asserted_cr', color=\"color\", color_discrete_map={\"% of references dois asserted by Crossref\": \"#471D6C\"},\n", - " projection=\"natural earth\", labels={ \"iso_alpha\": \"Country code\", 'perc_ref_doi': \"% of references dois asserted by Crossref\", \"color\": \"Legend\" },\n", - "title=\"References DOI assertion overview - by country\")\n", + "f = frame.copy()\n", + "f = f[f['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", "\n", + "ass_cross = f['asserted-by-cr'].sum()\n", + "ass_pub = f['asserted-by-pub'].sum()\n", + "und = f['ref-undefined'].sum()\n", + "ass_cross, ass_pub\n", "\n", - "fig1.update_layout(\n", + "new = pd.DataFrame()\n", + "new['val'] = [ass_cross, ass_pub, und]\n", + "new['ref'] = ['Asserted by Crossref', 'Asserted by citing publisher', 'Missing/undefined doi']\n", + "fig = px.pie(new, values='val', names='ref', color='ref', color_discrete_map={\n", + " 'Asserted by Crossref':'#34B67A',\n", + " 'Asserted by citing publisher':'#471D6C',\n", + " 'Missing/undefined doi':'#D4E129'}, width=800,\n", + "title =\"Percentage of DOIs registered on Crossref\")\n", + "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", "\n", - "fig1.show()\n" + "fig.show()\n", + "fig.write_image(\"images/fig10.png\")" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -40881,295 +37818,120 @@ }, "data": [ { - "geo": "geo", - "hovertemplate": "%{hovertext}

Legend=% of references doi asserted by publisher
% of references doi asserted by publisher=%{marker.size}
Country code=%{location}", - "hovertext": [ - 7226, - 541, - 1114, - 11286, - 50611, - 374036, - 4986, - 307, - 15390, - 494607, - 4245, - 7501971, - 4474, - 26338, - 452830, - 59138037, - 1497, - 299627, - 512681, - 827, - 143107, - 4923825, - 6799, - 17366, - 70659, - 758919, - 12950, - 1829517, - 35654152, - 1795, - 2622, - 11507, - 585, - 39932, - 17365, - 18818, - 146880, - 38546, - 1698, - 276342, - 3688, - 158519, - 300751, - 157905, - 840786, - 9094, - 355146, - 2059, - 16806, - 404, - 4325, - 45602, - 19088, - 3639, - 1361862, - 29403, - 41, - 3903, - 47, - 5392, - 7323, - 2005759, - 81765, - 4968, - 36375, - 197690, - 1055715, - 83305, - 65828, - 83568, - 38000, - 12265, - 181986, - 49, - 90367, - 405395, - 1076, - 21127545, - 16223, - 896, - 427619 + "alignmentgroup": "True", + "hovertemplate": "variable=Percentage of references DOI asserted by Crossref
Continent=%{x}
value=%{y}", + "legendgroup": "Percentage of references DOI asserted by Crossref", + "marker": { + "color": "#34B67A", + "pattern": { + "shape": "" + } + }, + "name": "Percentage of references DOI asserted by Crossref", + "offsetgroup": "perc_asserted_cr", + "orientation": "v", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + "Africa", + "Asia", + "Europe", + "North America", + "Oceania", + "South America" ], - "legendgroup": "% of references doi asserted by publisher", - "locations": [ - "ALB", - "ARM", - "AGO", - "ARG", - "AUT", - "AUS", - "BIH", - "BGD", - "BEL", - "BGR", - "BOL", - "BRA", - "BHS", - "BLR", - "CAN", - "CHE", - "CHL", - "CHN", - "COL", - "CRI", - "CZE", - "DEU", - "ECU", - "EST", - "EGY", - "ESP", - "FIN", - "FRA", - "GBR", - "GEO", - "GHA", - "GRC", - "GTM", - "HKG", - "HRV", - "HUN", - "IDN", - "IRL", - "ISR", - "IND", - "IRQ", - "IRN", - "ITA", - "JPN", - "KOR", - "KAZ", - "LTU", - "LUX", - "LVA", - "MAR", - "MDA", - "MEX", - "MYS", - "NIC", - "NLD", - "NOR", - "NPL", - "NZL", - "PAN", - "PER", - "PAK", - "POL", - "PRT", - "QAT", - "ROU", - "SRB", - "RUS", - "SAU", - "SWE", - "SGP", - "SVN", - "SVK", - "TUR", - "TTO", - "TWN", - "UKR", - "UGA", - "USA", - "VEN", - "YEM", - "ZAF" + "xaxis": "x", + "y": [ + 29.0441577501661, + 43.214836663909914, + 17.225685216378462, + 53.70139056419509, + 20.246222385751718, + 45.23966492473118 ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "variable=Percentage of references DOI asserted by publishers
Continent=%{x}
value=%{y}", + "legendgroup": "Percentage of references DOI asserted by publishers", "marker": { - "color": "#34B67A", - "size": [ - 3.8057016329919735, - 26.98706099815157, - 24.865350089766608, - 34.94595073542442, - 81.3953488372093, - 67.37158990043739, - 14.440433212996389, - 78.82736156351791, - 87.30994152046783, - 44.5816577606059, - 43.415783274440514, - 1.016212939239568, - 29.548502458649978, - 9.598299035613941, - 71.86648411103505, - 80.92030514979724, - 8.483633934535737, - 18.525032790769856, - 21.04037403375588, - 26.360338573155985, - 65.11631157106221, - 25.430493569531816, - 47.83056331813502, - 15.196360704825521, - 0.2349311481906056, - 25.706959504242217, - 3.1196911196911197, - 9.414124055693387, - 68.87732738672344, - 14.261838440111422, - 16.97177726926011, - 16.51168853741201, - 7.179487179487179, - 5.799859761594711, - 38.70429023898647, - 56.100542034222556, - 46.20029956427015, - 0.01297151455403933, - 100, - 40.59209240723452, - 3.308026030368764, - 60.40411559497599, - 17.387140857387006, - 16.551090845761692, - 49.64378569576563, - 5.8170222124477675, - 47.31265451391822, - 100, - 40.140426038319646, - 21.534653465346533, - 74.242774566474, - 23.3191526687426, - 37.42665549036043, - 28.441879637262986, - 8.736200877915676, - 35.720844811753906, - 73.17073170731707, - 19.21598770176787, - 44.680851063829785, - 42.06231454005935, - 36.80185716236515, - 3.4021036425612445, - 17.020730141258486, - 38.64734299516908, - 13.308591065292097, - 38.83403308209824, - 9.693714686255287, - 2.8449672888782187, - 28.191650969192438, - 65.96663794753972, - 17.05, - 4.508764777823074, - 5.180618289318958, - 61.224489795918366, - 3.0176945123773056, - 34.28162656174842, - 51.57992565055763, - 24.576873460688407, - 21.728410281698824, - 100, - 41.361352044693994 - ], - "sizemode": "area", - "sizeref": 0.25, - "symbol": "circle" + "color": "#D4E129", + "pattern": { + "shape": "" + } + }, + "name": "Percentage of references DOI asserted by publishers", + "offsetgroup": "perc_asserted_pub", + "orientation": "v", + "showlegend": true, + "textposition": "auto", + "type": "bar", + "x": [ + "Africa", + "Asia", + "Europe", + "North America", + "Oceania", + "South America" + ], + "xaxis": "x", + "y": [ + 25.315731242766336, + 16.046768056929807, + 64.21713324250959, + 29.45718693930664, + 65.68797577553588, + 3.4029728145718017 + ], + "yaxis": "y" + }, + { + "alignmentgroup": "True", + "hovertemplate": "variable=Percentage of reference without DOI
Continent=%{x}
value=%{y}", + "legendgroup": "Percentage of reference without DOI", + "marker": { + "color": "#471D6C", + "pattern": { + "shape": "" + } }, - "mode": "markers", - "name": "% of references doi asserted by publisher", + "name": "Percentage of reference without DOI", + "offsetgroup": "perc_ref_nodoi", + "orientation": "v", "showlegend": true, - "type": "scattergeo" + "textposition": "auto", + "type": "bar", + "x": [ + "Africa", + "Asia", + "Europe", + "North America", + "Oceania", + "South America" + ], + "xaxis": "x", + "y": [ + 45.64011100706756, + 40.73839527916027, + 18.55718154111195, + 16.84142249649828, + 14.065801838712405, + 51.357362260697016 + ], + "yaxis": "y" } ], "layout": { + "barmode": "relative", "font": { "family": "sans-serif", "size": 10 }, - "geo": { - "center": {}, - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - }, - "projection": { - "type": "natural earth" - } - }, "legend": { - "itemsizing": "constant", "title": { - "text": "Legend" + "text": "variable" }, "tracegroupgap": 0 }, @@ -41994,18 +38756,86 @@ "font": { "size": 20 }, - "text": "References DOI assertion overview - by country", + "text": "Reference assertion overview - by continent.", "x": 0.5, "xanchor": "center", "y": 0.9 }, - "width": 800 + "width": 800, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Continent" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "value" + } + } } } }, "metadata": {}, "output_type": "display_data" - }, + } + ], + "source": [ + "frame17 = frame.copy()\n", + "frame17 = frame17[frame17['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", + "frame17 = frame17.groupby('country').sum()\n", + "frame17['country-name'] = coco.convert(names=frame17.index, to='name')\n", + "continent_name = []\n", + "for x in frame17.index:\n", + " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", + " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", + " continent_name.append(country_continent_name)\n", + "frame17['continent'] = continent_name\n", + "frame17 = frame17.groupby('continent').sum()\n", + "frame17 =frame17.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame17['perc_asserted_cr'] = (frame17['asserted-by-cr']/frame17['ref-num'])*100\n", + "frame17['perc_asserted_pub'] = (frame17['asserted-by-pub']/frame17['ref-num'])*100\n", + "frame17['perc_ref_nodoi'] = (frame17['ref-undefined']/frame17['ref-num'])*100\n", + "frame17.head()\n", + "fig = px.bar(frame17, x=frame17.index, y= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'],color_discrete_map={\n", + " 'perc_asserted_cr':'#34B67A',\n", + " 'perc_ref_nodoi':'#471D6C',\n", + " 'perc_asserted_pub':'#D4E129'}, width=800,\n", + "labels={ 'continent' : \"Continent\"},\n", + "title = \"Reference assertion overview - by continent.\")\n", + "\n", + "newnames = {'perc_asserted_pub': 'Percentage of references DOI asserted by publishers', 'perc_asserted_cr': \"Percentage of references DOI asserted by Crossref\", 'perc_ref_nodoi': \"Percentage of reference without DOI\"}\n", + "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", + " legendgroup = newnames[t.name],\n", + " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", + " )\n", + " )\n", + "\n", + "fig.update_layout(\n", + " font_family=\"sans-serif\",\n", + " title_font_size=20,\n", + " font_size=10,\n", + " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", + ")\n", + "fig.show()\n", + " \n", + "fig.write_image(\"images/fig11.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ { "data": { "application/vnd.plotly.v1+json": { @@ -42014,571 +38844,97 @@ }, "data": [ { - "geo": "geo", - "hovertemplate": "%{hovertext}

Legend=% of references dois asserted by Crossref
perc_asserted_cr=%{marker.size}
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"type": "scattergeo" + "textposition": "auto", + "type": "bar", + "x": [ + "SSH", + "STM" + ], + "xaxis": "x", + "y": [ + 47.44970925940249, + 18.31049721032224 + ], + "yaxis": "y" } ], "layout": { + "barmode": "relative", "font": { "family": "sans-serif", "size": 10 }, - "geo": { - "center": {}, - "domain": { - "x": [ - 0, - 1 - ], - "y": [ - 0, - 1 - ] - } - }, "legend": { + "title": { + "text": "variable" + }, "tracegroupgap": 0 }, "template": { @@ -43402,12 +39758,32 @@ "font": { "size": 20 }, - "text": "References DOI assertion overview - by country", + "text": "Reference assertion overviwe - by research field.", "x": 0.5, "xanchor": "center", "y": 0.9 }, - "width": 800 + "width": 800, + "xaxis": { + "anchor": "y", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Research field" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "value" + } + } } } }, @@ -43416,51 +39792,39 @@ } ], "source": [ - "frame23a = frame.copy()\n", - "frame23a = frame23a.groupby('country').sum()\n", - "frame23a =frame23a.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame23a['iso_alpha'] = coco.convert(names=frame23a.index, to='ISO3')\n", - "frame23a['country-name'] = coco.convert(names=frame23a.index, to='name')\n", - "frame23a['perc_asserted_pub'] = (frame23a['asserted-by-pub']/frame23a['ref-num'])*100\n", - "continent_name = []\n", - "for x in frame23a.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame23a['continent'] = continent_name\n", - "frame23a = frame23a[frame23a['perc_asserted_pub'] > 0]\n", - "frame23a['color'] = \"% of references doi asserted by publisher\"\n", - "frame23a.head()\n", - "fig2 = px.scatter_geo(frame23a, locations=\"iso_alpha\", width=800, color=\"color\", color_discrete_map={\"% of references doi asserted by publisher\": \"#34B67A\"},\n", - " hover_name='ref-num', size='perc_asserted_pub',\n", - " projection=\"natural earth\", labels={ \"iso_alpha\": \"Country code\", 'perc_asserted_pub': \"% of references doi asserted by publisher\", \"color\": \"Legend\" },\n", - "title=\"References DOI assertion overview - by country\")\n", - "\n", - "fig2.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "\n", - "fig2.show()\n", - "fig=px.scatter_geo( title=\"References DOI assertion overview - by country\", width=800)\n", - "fig.add_traces(fig1._data)\n", - "fig.add_traces(fig2._data)\n", + "frame18 = frame.copy()\n", + "frame18 = frame18[frame18['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", + "frame18 = frame18.groupby('subject').sum()\n", + "frame18 =frame18.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame18['perc_asserted_cr'] = (frame18['asserted-by-cr']/frame18['ref-num'])*100\n", + "frame18['perc_asserted_pub'] = (frame18['asserted-by-pub']/frame18['ref-num'])*100\n", + "frame18['perc_ref_nodoi'] = (frame18['ref-undefined']/frame18['ref-num'])*100\n", + "fig = px.bar(frame18, x=frame18.index, y= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'],color_discrete_map={\n", + " 'perc_asserted_cr':'#34B67A',\n", + " 'perc_ref_nodoi':'#471D6C',\n", + " 'perc_asserted_pub':'#D4E129'}, width=800,\n", + "labels={ \"subject\": \"Research field\"},\n", + "title = \"Reference assertion overviwe - by research field.\")\n", "\n", + "newnames = {'perc_asserted_pub': 'Percentage of references DOI asserted by publishers', 'perc_asserted_cr': \"Percentage of references DOI asserted by Crossref\", 'perc_ref_nodoi': \"Percentage of reference without DOI\"}\n", + "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", + " legendgroup = newnames[t.name],\n", + " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", + " )\n", + " )\n", "fig.update_layout(\n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", - "\n", - "fig.show()" + "fig.show()\n", + "fig.write_image(\"images/fig12.png\")" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -43472,106 +39836,505 @@ "data": [ { "alignmentgroup": "True", - "hovertemplate": "variable=% of references DOI asserted by Crossref
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"anchor": "y", + "domain": [ + 0, + 1 + ], + "title": { + "text": "Year" + } + }, + "yaxis": { + "anchor": "x", + "domain": [ + 0, + 1 + ], + "title": { + "text": "avg of value" + } + } + } + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "frame20 = frame.copy()\n", + "frame20 = frame20[frame20['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", + "frame20 = frame20.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frame20 = frame20[(frame20.year >= 1950)&(frame20.year < 2022)]\n", + "frame20 = frame20.groupby('year').sum()\n", + "frame20['perc_asserted_cr'] = (frame20['asserted-by-cr']/frame20['ref-num'])*100\n", + "frame20['perc_asserted_pub'] = (frame20['asserted-by-pub']/frame20['ref-num'])*100\n", + "frame20['perc_ref_nodoi'] = (frame20['ref-undefined']/frame20['ref-num'])*100\n", + "fig = px.histogram(frame20, x=frame20.index, y= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'], histfunc='avg', color_discrete_map={\n", + " 'perc_asserted_cr':'#34B67A',\n", + " 'perc_ref_nodoi':'#471D6C',\n", + " 'perc_asserted_pub':'#D4E129'}, width=800,\n", + "labels={ \"year\": \"Year\"},\n", + "title = \"Reference assertion overviwe - by year.\")\n", + "\n", + "newnames = {'perc_asserted_pub': 'Percentage of references DOI asserted by publishers', 'perc_asserted_cr': \"Percentage of references DOI asserted by Crossref\", 'perc_ref_nodoi': \"Percentage of reference without DOI\"}\n", + "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", + " legendgroup = newnames[t.name],\n", + " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", + " )\n", + " )\n", + "\n", + "fig.update_layout(\n", + " font_family=\"sans-serif\",\n", + " title_font_size=20,\n", + " font_size=10,\n", + " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", + ")\n", + "fig.show()\n", + "\n", + "fig.write_image(\"images/fig13.png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Combined viz" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "box": { + "visible": true + }, + "marker": { + "color": "#471D6C" + }, + "name": "DOAJ articles indexed on Crossref", + "points": "all", + "type": "violin", + "y": [ + 98.98305084745763, + 5.142857142857142, + 99.3841416474211, + 100, + 100, + 100, + 100, + 100, + 98.1456953642384, + 100, + 98.54368932038835, + 100, + 96.1038961038961, + 100, + 100, + 100, + 100, + 99.91235758106923, + 99.97148153429346, + 51.162790697674424, + 100, + 100, + 98.84149552395998, + 98.69281045751634, + 99.22295277943813, + 23.484848484848484, + 100, + 100, + 100, + 93.87755102040816, + 99.27007299270073, + 100, + 100, + 100, + 1.3961605584642234, + 100, + 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pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame27['continent'] = continent_name\n", - "frame27 = frame27.groupby('continent').sum()\n", - "frame27 =frame27.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame27['perc_asserted_cr'] = (frame27['asserted-by-cr']/frame27['ref-num'])*100\n", - "frame27['perc_asserted_pub'] = (frame27['asserted-by-pub']/frame27['ref-num'])*100\n", - "frame27['perc_ref_nodoi'] = (frame27['ref-undefined']/frame27['ref-num'])*100\n", - "frame27.head()\n", - "fig = px.bar(frame27, x=frame27.index, y= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'],color_discrete_map={\n", - " 'perc_asserted_cr':'#34B67A',\n", - " 'perc_ref_nodoi':'#471D6C',\n", - " 'perc_asserted_pub':'#D4E129'}, width=800,\n", - "labels={ 'continent' : \"Continent\"},\n", - "title = \"Reference assertion overviwe - by continent.\")\n", - "\n", - "newnames = {'perc_asserted_pub': '% references DOI asserted by publishers', 'perc_asserted_cr': \"% of references DOI asserted by Crossref\", 'perc_ref_nodoi': \"% of reference without DOI\"}\n", - "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", - " legendgroup = newnames[t.name],\n", - " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", - " )\n", - " )\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()\n", - "\n", - "import os\n", - "\n", - "if not os.path.exists(\"images\"):\n", - " os.mkdir(\"images\")\n", - " \n", - "fig.write_image(\"images/pec_ass_continent.png\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "bingroup": 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compared to distribution of references", "x": 0.5, "xanchor": "center", "y": 0.9 }, "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Year" - } - }, "yaxis": { - "anchor": "x", - "domain": [ + "range": [ 0, - 1 - ], - "title": { - "text": "avg of value" - } + 100 + ] } } } @@ -45872,41 +67699,33 @@ } ], "source": [ - "frame28 = frame.copy()\n", - "frame28 = frame28.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame28 = frame28[(frame28.year >= 1950)&(frame28.year < 2022)]\n", - "frame28 = frame28.groupby('year').sum()\n", - "frame28['perc_asserted_cr'] = (frame28['asserted-by-cr']/frame28['ref-num'])*100\n", - "frame28['perc_asserted_pub'] = (frame28['asserted-by-pub']/frame28['ref-num'])*100\n", - "frame28['perc_ref_nodoi'] = (frame28['ref-undefined']/frame28['ref-num'])*100\n", - "fig = px.histogram(frame28, x=frame28.index, y= ['perc_asserted_cr','perc_asserted_pub','perc_ref_nodoi'], histfunc='avg', color_discrete_map={\n", - " 'perc_asserted_cr':'#34B67A',\n", - " 'perc_ref_nodoi':'#471D6C',\n", - " 'perc_asserted_pub':'#D4E129'}, width=800,\n", - "labels={ \"year\": \"Year\"},\n", - "title = \"Reference assertion overviwe - by year.\")\n", + "frameA = frame.copy()\n", + "frameA['year'] = frameA['year'].apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", + "frameA = frameA[(frameA.year >= 1950)&(frameA.year < 2022)]\n", + "frameA = frameA.groupby('issn').sum()\n", + "frameA['perc_ref'] = (frameA['reference']/frameA['on-crossref'])*100\n", + "frameA['perc_cr'] = (frameA['on-crossref']/frameA['doi-num'])*100\n", "\n", - "newnames = {'perc_asserted_pub': '% references DOI asserted by publishers', 'perc_asserted_cr': \"% of references DOI asserted by Crossref\", 'perc_ref_nodoi': \"% of reference without DOI\"}\n", - "fig.for_each_trace(lambda t: t.update(name = newnames[t.name],\n", - " legendgroup = newnames[t.name],\n", - " hovertemplate = t.hovertemplate.replace(t.name, newnames[t.name])\n", - " )\n", - " )\n", + "fig = go.Figure()\n", + "fig.add_trace(go.Violin(y=frameA['perc_cr'], points=\"all\", box_visible=True, name=\"DOAJ articles indexed on Crossref\", marker_color='#471D6C' ))\n", + "fig.add_trace(go.Violin(y=frameA['perc_ref'], points=\"all\", box_visible=True, name=\"Crossref reference list\", marker_color='#34B67A' ))\n", "\n", + "fig.update_yaxes(range=[0, 100])\n", "fig.update_layout(\n", + " width = 800, \n", " font_family=\"sans-serif\",\n", " title_font_size=20,\n", " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", + " title = {'text': 'Distribution of DOIs registered on Crossref by journal
compared to distribution of references', \n", + " 'xanchor': 'center', 'y':0.9,'x':0.5},\n", ")\n", - "fig.show()" + "fig.show()\n", + "\n", + "fig.write_image(\"images/fig7.png\")" ] } ], "metadata": { - "interpreter": { - "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" - }, "kernelspec": { "display_name": "Python 3.9.4 64-bit", "language": "python", @@ -45924,7 +67743,12 @@ "pygments_lexer": "ipython3", "version": "3.9.4" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" + } + } }, "nbformat": 4, "nbformat_minor": 2 diff --git a/data_viz_copy.ipynb b/data_viz_copy.ipynb deleted file mode 100644 index 261388e..0000000 --- a/data_viz_copy.ipynb +++ /dev/null @@ -1,70908 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "'''\n", - "MIT License (MIT)\n", - "Copyright © 2022 Silvio Peroni, Alessandro Bertozzi, Davide Brembilla, Chiara Catizone, Constance Dami, Umut Kuçuk, Chiara Manca, Giulia Venditti\n", - "\n", - "Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n", - "\n", - "The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n", - "\n", - "THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n", - "'''" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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010.1051/ijsmdo:20080251779-627X 1779-6288111606122008journal-article
110.1051/smdo/20190121779-627X 1779-62881112207292019journal-article
210.1051/smdo/20200041779-627X 1779-628811135010452020journal-article
310.1051/smdo/20200011779-627X 1779-62881112609352020journal-article
410.1051/smdo/20160031779-627X 1779-628811141011522016journal-article
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"text": [ - " doi-num on-crossref reference asserted-by-cr \\\n", - "count 12424.000000 12424.000000 12424.000000 1.242400e+04 \n", - "mean 469.028010 438.097231 302.791452 3.381850e+03 \n", - "std 2914.665291 2911.085581 2736.179607 8.740770e+04 \n", - "min 11.000000 0.000000 0.000000 0.000000e+00 \n", - "25% 67.000000 50.000000 0.000000 0.000000e+00 \n", - "50% 149.000000 123.000000 9.000000 0.000000e+00 \n", - "75% 344.000000 306.000000 136.000000 6.750000e+02 \n", - "max 265300.000000 265201.000000 247027.000000 9.548610e+06 \n", - "\n", - " asserted-by-pub ref-undefined ref-num perc_cr \n", - "count 1.242400e+04 1.242400e+04 1.242400e+04 12424.000000 \n", - "mean 6.985912e+03 2.732133e+03 1.309990e+04 87.594361 \n", - "std 6.599622e+04 2.498471e+04 1.354657e+05 28.612158 \n", - "min 0.000000e+00 0.000000e+00 0.000000e+00 0.000000 \n", - "25% 0.000000e+00 0.000000e+00 0.000000e+00 96.551724 \n", - "50% 0.000000e+00 8.000000e+00 1.670000e+02 100.000000 \n", - "75% 3.720000e+02 1.406000e+03 4.363250e+03 100.000000 \n", - 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doiissndoi-numon-crossrefreferenceasserted-by-crasserted-by-pubref-undefinedref-numyeartype
010.1051/ijsmdo:20080251779-627X 1779-6288111606122008journal-article
110.1051/smdo/20190121779-627X 1779-62881112207292019journal-article
210.1051/smdo/20200041779-627X 1779-628811135010452020journal-article
310.1051/smdo/20200011779-627X 1779-62881112609352020journal-article
410.1051/smdo/20160031779-627X 1779-628811141011522016journal-article
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0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of DOIs registered on Crossref - by country.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "country-name" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "% DOIs on Crossref" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame4 = frame.copy()\n", - "frame4 = frame4.groupby('country').sum()\n", - "frame4 =frame4.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame4['perc_cr'] = (frame4['on-crossref']/frame4['doi-num'])*100\n", - "frame4['country-name'] = coco.convert(names=frame4.index, to=\"name\")\n", - "frame4 = frame4[(frame4.perc_cr < 80) & (frame4.perc_cr > 0)]\n", - "continent_name = []\n", - "for x in frame4.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame4['continent'] = continent_name\n", - "frame4 = frame4.sort_values(by=['doi-num'])\n", - "\n", - "fig = px.bar(frame4,x=\"country-name\",y='perc_cr', width=800, color=\"continent\", color_discrete_map={\n", - " 'Asia' : '#34B67A',\n", - " 'Europe' : '#471D6C',\n", - " 'Africa' : '#D4E129',\n", - " 'South America' : '#25848E',\n", - " 'Oceania' : '#A6DA35',\n", - " 'North America' : '#FBE625'\n", - "},\n", - " labels={ \"country\": \"Country\", \"perc_cr\": \"% DOIs on Crossref\", \"continent\": \"Continent\" },\n", - " title=\"Percentage of DOIs registered on Crossref - by country.\")\n", - "\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Asia
% DOIs on Crossref=%{marker.size}
Country code=%{location}", - "hovertext": [ - 1412, - 1117, - 6, - 2872, - 36639, - 296, - 116, - 2640, - 203982, - 742, - 153026, - 21649, - 77496, - 421, - 9195, - 354, - 39452, - 2496, - 1940, - 662, - 5287, - 7994, - 2730, - 1142, - 5248, - 308, - 3282, - 3392, - 50, - 2926, - 5, - 53049, - 7700, - 1090, - 643 - ], - "legendgroup": "Asia", - "locations": [ - "ARE", - "ARM", - "AZE", - "BGD", - "CHN", - "CYP", - "GEO", - "HKG", - "IDN", - "ISR", - "IND", - "IRQ", - "IRN", - "JOR", - "JPN", - "KGZ", - "KOR", - "KAZ", - "LKA", - "MNG", - "MYS", - "NPL", - "OMN", - "PHL", - "PAK", - "QAT", - "SAU", - "SGP", - "SYR", - "THA", - "TKM", - "TUR", - "TWN", - "VNM", - "YEM" - ], - "marker": { - "color": "#34B67A", - "size": [ - 96.45892351274787, - 99.91047448522829, - 0, - 98.85097493036211, - 32.541827014929446, - 89.52702702702703, - 99.13793103448276, - 99.16666666666667, - 82.71072937808238, - 100, - 91.62364565498673, - 93.55166520393551, - 20.420408795292662, - 99.2874109263658, - 81.31593257205003, - 98.58757062146893, - 96.85187062759809, - 95.67307692307693, - 99.38144329896907, - 99.8489425981873, - 98.27879704936637, - 87.30297723292469, - 99.92673992673993, - 97.72329246935202, - 89.61509146341463, - 93.83116883116884, - 99.90859232175502, - 100, - 0, - 27.306903622693095, - 0, - 92.83304115063432, - 69.24675324675324, - 89.26605504587157, - 99.22239502332815 - ], - "sizemode": "area", - "sizeref": 1, - "symbol": "circle" - }, - "mode": "markers", - "name": "Asia", - "showlegend": true, - "type": "scattergeo" - }, - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Europe
% DOIs on Crossref=%{marker.size}
Country code=%{location}", - "hovertext": [ - 581, - 7171, - 3461, - 5624, - 28518, - 5327, - 1058327, - 17553, - 143226, - 4447, - 4507, - 158522, - 9423, - 161639, - 996779, - 8085, - 9954, - 6930, - 2238, - 374, - 103077, - 31544, - 236, - 1727, - 1580, - 797, - 1044, - 64743, - 14963, - 160428, - 23911, - 21090, - 50328, - 158350, - 7085, - 10627, - 3733, - 85960 - ], - "legendgroup": "Europe", - "locations": [ - "ALB", - "AUT", - "BIH", - "BEL", - "BGR", - "BLR", - "CHE", - "CZE", - "DEU", - "DNK", - "EST", - "ESP", - "FIN", - "FRA", - "GBR", - "GRC", - "HRV", - "HUN", - "IRL", - "ISL", - "ITA", - "LTU", - "LUX", - "LVA", - "MDA", - "MNE", - "MKD", - "NLD", - "NOR", - "POL", - "PRT", - "ROU", - "SRB", - "RUS", - "SWE", - "SVN", - "SVK", - "UKR" - ], - "marker": { - "color": "#471D6C", - "size": [ - 99.65576592082617, - 52.656533258959705, - 93.96128286622364, - 98.34637268847796, - 98.3273721859878, - 56.579688379951186, - 99.87754257427054, - 99.06568677718909, - 90.93111585885244, - 60.49021812457836, - 90.21522076769469, - 87.27747568160886, - 98.68407089037461, - 99.0231317936884, - 99.47159801721345, - 75.7699443413729, - 86.3873819570022, - 99.43722943722943, - 81.36729222520107, - 98.66310160427807, - 37.88527023487296, - 98.67169667765661, - 92.37288135593221, - 99.82628836132021, - 34.810126582278485, - 96.61229611041405, - 90.13409961685824, - 95.14078742103393, - 99.85297066096372, - 92.39658912409305, - 77.4162519342562, - 78.3878615457563, - 97.00365601653155, - 85.76444584780549, - 99.26605504587155, - 96.10426272701609, - 96.67827484596839, - 89.68124709167054 - ], - "sizemode": "area", - "sizeref": 1, - "symbol": "circle" - }, - "mode": "markers", - "name": "Europe", - "showlegend": true, - "type": "scattergeo" - }, - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Africa
% DOIs on Crossref=%{marker.size}
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Continent=South America
% DOIs on Crossref=%{marker.size}
Country code=%{location}", - "hovertext": [ - 16824, - 550, - 561889, - 10461, - 59902, - 8668, - 14488, - 1047, - 1895, - 1937 - ], - "legendgroup": "South America", - "locations": [ - "ARG", - "BOL", - "BRA", - "CHL", - "COL", - "ECU", - "PER", - "PRY", - "URY", - "VEN" - ], - "marker": { - "color": "#25848E", - "size": [ - 93.57465525439848, - 89.27272727272727, - 93.94061816479767, - 88.17512666093108, - 92.85499649427398, - 70.43147208121827, - 97.65323025952513, - 95.98853868194843, - 91.18733509234829, - 84.40887971089313 - ], - "sizemode": "area", - "sizeref": 1, - "symbol": "circle" - }, - "mode": "markers", - "name": "South America", - "showlegend": true, - "type": "scattergeo" - }, - { - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Oceania
% DOIs on Crossref=%{marker.size}
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Continent=North America
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"y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Year" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "range": [ - 50, - 110 - ], - "title": { - "text": "% DOIs on Crossref" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame8 = frame.copy()\n", - "frame8 = frame8.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame8 = frame8[(frame8.year >= 2000)&(frame8.year < 2022)]\n", - "frame8 = frame8.groupby('year').sum()\n", - "frame8['perc_cr'] = (frame8['on-crossref']/frame8['doi-num'])*100\n", - "# fig = px.bar(frame,x=frame.index,y='perc_cr')\n", - "fig = px.scatter(frame8,x=frame8.index, y='perc_cr', size='doi-num',size_max=60,width=800,\n", - " labels={ \"year\": \"Year\", \"perc_cr\": \"% DOIs on Crossref\", \"doi-num\": \"Number of DOIs\" },\n", - " title=\"Percentage of DOIs registered on Crossref - by year\")\n", - "fig.update_yaxes(range=[50, 110])\n", - 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"automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of references registered on Crossref - by country.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "% of references on Crossref" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Country" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame12 = frame.copy()\n", - "frame12 = frame12.groupby('country').sum()\n", - "frame12 =frame12.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame12['perc_ref'] = (frame12['reference']/frame12['on-crossref'])*100\n", - "frame12['country-name'] = coco.convert(names=frame12.index, to=\"name\")\n", - "continent_name = []\n", - "for x in frame12.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name) \n", - "frame12['continent'] = continent_name\n", - "fig = px.scatter(frame12,y='country-name',x='perc_ref', width=800, color=\"continent\", color_discrete_map={\n", - " 'Asia' : '#34B67A',\n", - " 'Europe' : '#471D6C',\n", - " 'Africa' : '#D4E129',\n", - " 'South America' : '#25848E',\n", - " 'Oceania' : '#A6DA35',\n", - " 'North America' : '#FBE625'\n", - "},\n", - " labels={\"country-name\": \"Country\", \"perc_ref\": \"% of references on Crossref\", \"continent\":\"Continent\" },\n", - " title=\"Percentage of references registered on Crossref - by country.\")\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=Africa
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% of references on Crossref=%{y}", - "legendgroup": "Africa", - "marker": { - "color": "#D4E129", - "pattern": { - "shape": "" - } - }, - "name": "Africa", - "offsetgroup": "Africa", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Angola" - ], - "xaxis": "x", - "y": [ - 79.62962962962963 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=Oceania
Country=%{x}
% of references on Crossref=%{y}", - "legendgroup": "Oceania", - "marker": { - "color": "#A6DA35", - "pattern": { - "shape": "" - } - }, - "name": "Oceania", - "offsetgroup": "Oceania", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Australia" - ], - "xaxis": "x", - "y": [ - 61.86651896981446 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=North America
Country=%{x}
% of references on Crossref=%{y}", - "legendgroup": "North America", - "marker": { - "color": "#FBE625", - "pattern": { - "shape": "" - } - }, - "name": "North America", - "offsetgroup": "North America", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Bahamas", - "Trinidad and Tobago", - "United States" - ], - "xaxis": "x", - "y": [ - 78.67647058823529, - 100, - 73.27851388661263 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "Contintent=Europe
Country=%{x}
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] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of references registered on Crossref - by country.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Country" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "% of references on Crossref" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame13a = frame.copy()\n", - "frame13a = frame13a.groupby('country').sum()\n", - "frame13a = frame13a.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame13a['perc_ref'] = (frame13a['reference']/frame13a['on-crossref'])*100\n", - "frame13a['country-name'] = coco.convert(names=frame13a.index, to=\"name\")\n", - "frame13a = frame13a[frame13a.perc_ref > 60]\n", - "continent_name = []\n", - "for x in frame13a.index:\n", - " country_continent_code = pc.country_alpha2_to_continent_code(x)\n", - " country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame13a['continent'] = continent_name\n", - "\n", - "fig = px.bar(frame13a,x='country-name',y='perc_ref', width=800, color=\"doi-num\", color_continuous_scale=[[0,\"#440154\"],[0.05,\"#414084\"],[0.2,\"#25848E\"], [0.5,\"#66CA5C\"],[1,\"#FBE625\"]], \n", - " labels={\"country-name\": \"Country\", \"perc_ref\": \"% of references on Crossref\", \"continent\":\"Contintent\", \"doi-num\": \"Number of DOIs\" },\n", - " title=\"Percentage of references registered on Crossref - by country.\")\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "customdata": [ - [ - "United Arab Emirates" - ], - [ - "Armenia" - ], - [ - "Bangladesh" - ], - [ - "China" - ], - [ - "Georgia" - ], - [ - "Hong Kong" - ], - [ - "Indonesia" - ], - [ - "Israel" - ], - [ - "India" - ], - [ - "Iraq" - ], - [ - "Iran" - ], - [ - "Japan" - ], - [ - "Kyrgyz Republic" - ], - [ - "South Korea" - ], - [ - "Kazakhstan" - ], - [ - "Malaysia" - ], - [ - "Nepal" - ], - [ - "Philippines" - ], - [ - "Pakistan" - ], - [ - "Qatar" - ], - [ - "Saudi Arabia" - ], - [ - "Singapore" - ], - [ - "Turkey" - ], - [ - "Taiwan" - ], - [ - "Vietnam" - ], - [ - "Yemen" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Asia
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 10065, - 541, - 307, - 299627, - 1795, - 39932, - 146880, - 1698, - 276342, - 3688, - 158519, - 157905, - 2337, - 840786, - 9094, - 19088, - 41, - 851, - 7323, - 4968, - 83305, - 83568, - 181986, - 90367, - 891, - 896 - ], - "legendgroup": "Asia", - "locations": [ - "ARE", - "ARM", - "BGD", - "CHN", - "GEO", - "HKG", - "IDN", - "ISR", - "IND", - "IRQ", - "IRN", - "JPN", - "KGZ", - "KOR", - "KAZ", - "MYS", - "NPL", - "PHL", - "PAK", - "QAT", - "SAU", - "SGP", - "TUR", - "TWN", - "VNM", - "YEM" - ], - "marker": { - "color": "#34B67A", - "size": [ - 28.928046989721, - 2.1505376344086025, - 0.49313138429024306, - 65.60429422125304, - 74.78260869565217, - 57.7922077922078, - 3.7507038496873424, - 30.862533692722373, - 7.5423656282095175, - 0.5678171135140473, - 30.679304897314374, - 77.23685970308948, - 40.68767908309456, - 80.66474744831196, - 15.996649916247907, - 8.814472671285605, - 0.01432870038687491, - 2.5985663082437274, - 4.975547522857751, - 41.522491349480966, - 85.84934431229033, - 67.68867924528303, - 13.034296505370884, - 61.121530382595644, - 3.494347379239465, - 17.86833855799373 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Asia", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Albania" - ], - [ - "Austria" - ], - [ - "Bosnia and Herzegovina" - ], - [ - "Belgium" - ], - [ - "Bulgaria" - ], - [ - "Belarus" - ], - [ - "Switzerland" - ], - [ - "Czech Republic" - ], - [ - "Germany" - ], - [ - "Denmark" - ], - [ - "Estonia" - ], - [ - "Spain" - ], - [ - "Finland" - ], - [ - "France" - ], - [ - "United Kingdom" - ], - [ - "Greece" - ], - [ - "Croatia" - ], - [ - "Hungary" - ], - [ - "Ireland" - ], - [ - "Iceland" - ], - [ - "Italy" - ], - [ - "Lithuania" - ], - [ - "Luxembourg" - ], - [ - "Latvia" - ], - [ - "Moldova" - ], - [ - "Macedonia" - ], - [ - "Netherlands" - ], - [ - "Norway" - ], - [ - "Poland" - ], - [ - "Portugal" - ], - [ - "Romania" - ], - [ - "Serbia" - ], - [ - "Russia" - ], - [ - "Sweden" - ], - [ - "Slovenia" - ], - [ - "Slovakia" - ], - [ - "Ukraine" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Europe
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 7226, - 50611, - 4986, - 15390, - 494607, - 26338, - 59138037, - 143107, - 4923825, - 2992, - 17366, - 758919, - 12950, - 1829517, - 35654152, - 11507, - 17365, - 18818, - 38546, - 36, - 300751, - 355146, - 2059, - 16806, - 4325, - 4104, - 1361862, - 29403, - 2005759, - 81765, - 36375, - 197690, - 1055715, - 65828, - 38000, - 12265, - 405395 - ], - "legendgroup": "Europe", - "locations": [ - "ALB", - "AUT", - "BIH", - "BEL", - "BGR", - "BLR", - "CHE", - "CZE", - "DEU", - "DNK", - "EST", - "ESP", - "FIN", - "FRA", - "GBR", - "GRC", - "HRV", - "HUN", - "IRL", - "ISL", - "ITA", - "LTU", - "LUX", - "LVA", - "MDA", - "MKD", - "NLD", - "NOR", - "POL", - "PRT", - "ROU", - "SRB", - "RUS", - "SWE", - "SVN", - "SVK", - "UKR" - ], - "marker": { - "color": "#471D6C", - "size": [ - 57.51295336787565, - 26.77436440677966, - 5.07380073800738, - 31.567528475863316, - 42.887200884419244, - 64.8307896483079, - 94.81235649664012, - 20.696992351486575, - 63.85589348649001, - 2.453531598513011, - 16.010821446138713, - 19.653931219914135, - 3.8068609527906228, - 73.75671623141322, - 88.81536481656299, - 7.851779301338557, - 5.198278869636004, - 9.432593237556233, - 58.92366831411312, - 0.27100271002710025, - 19.54623441141072, - 37.13734939759036, - 88.9908256880734, - 43.561484918793504, - 24.90909090909091, - 14.665249734325187, - 59.5580953617871, - 5.2606920554179775, - 39.64649531134049, - 16.83323429312301, - 5.20808129687878, - 25.52847193773044, - 34.55245640904806, - 25.991753163657044, - 9.419367472828748, - 11.055694098088113, - 22.467246076015044 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Europe", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Angola" - ], - [ - "Algeria" - ], - [ - "Egypt" - ], - [ - "Ethiopia" - ], - [ - "Ghana" - ], - [ - "Morocco" - ], - [ - "Nigeria" - ], - [ - "Uganda" - ], - [ - "South Africa" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Africa
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 1114, - 4132, - 70659, - 277, - 2622, - 404, - 2579, - 1076, - 427619 - ], - "legendgroup": "Africa", - "locations": [ - "AGO", - "DZA", - "EGY", - "ETH", - "GHA", - "MAR", - "NGA", - "UGA", - "ZAF" - ], - "marker": { - "color": "#D4E129", - "size": [ - 79.62962962962963, - 24.363636363636363, - 36.47446457990115, - 2.7586206896551726, - 52.24719101123596, - 18.32460732984293, - 24.056603773584907, - 46.75324675324675, - 25.757509318131987 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Africa", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Argentina" - ], - [ - "Bolivia" - ], - [ - "Brazil" - ], - [ - "Chile" - ], - [ - "Colombia" - ], - [ - "Ecuador" - ], - [ - "Peru" - ], - [ - "Venezuela" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=South America
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 11286, - 4245, - 7501971, - 1497, - 512681, - 6799, - 5392, - 16223 - ], - "legendgroup": "South America", - "locations": [ - "ARG", - "BOL", - "BRA", - "CHL", - "COL", - "ECU", - "PER", - "VEN" - ], - "marker": { - "color": "#25848E", - "size": [ - 2.7758368798831223, - 28.920570264765782, - 50.44805074245702, - 0.5203816131830009, - 28.895041530329724, - 3.1613431613431615, - 3.7743850720949954, - 45.015290519877674 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "South America", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Australia" - ], - [ - "New Zealand" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=Oceania
% of references on Crossref=%{marker.size}
Country code=%{location}
Country name=%{customdata[0]}", - "hovertext": [ - 374036, - 3903 - ], - "legendgroup": "Oceania", - "locations": [ - "AUS", - "NZL" - ], - "marker": { - "color": "#A6DA35", - "size": [ - 61.86651896981446, - 5.227427019687712 - ], - "sizemode": "area", - "sizeref": 0.4444444444444444, - "symbol": "circle" - }, - "mode": "markers", - "name": "Oceania", - "showlegend": true, - "type": "scattergeo" - }, - { - "customdata": [ - [ - "Bahamas" - ], - [ - "Canada" - ], - [ - "Costa Rica" - ], - [ - "Guatemala" - ], - [ - "Mexico" - ], - [ - "Nicaragua" - ], - [ - "Panama" - ], - [ - "Trinidad and Tobago" - ], - [ - "United States" - ] - ], - "geo": "geo", - "hovertemplate": "%{hovertext}

Continent=North America
% of references on Crossref=%{marker.size}
Country code=%{location}
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" title=\"Percentage of DOIs registered on Crossref - by country.\")\n", - "\n", - "# fig.update_traces(marker_color='continent', marker_line_color='rgb(0, 224, 198)',\n", - "# marker_line_width=1.5, opacity=0.8)\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "geo": "geo", - "hovertemplate": "%{hovertext}

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" country_continent_name = pc.convert_continent_code_to_continent_name(country_continent_code)\n", - " continent_name.append(country_continent_name)\n", - "frame23a['continent'] = continent_name\n", - "frame23a = frame23a[frame23a['perc_asserted_pub'] > 0]\n", - "frame23a['color'] = \"% of references doi asserted by publisher\"\n", - "frame23a.head()\n", - "fig2 = px.scatter_geo(frame23a, locations=\"iso_alpha\", width=800, color=\"color\", color_discrete_map={\"% of references doi asserted by publisher\": \"#34B67A\"},\n", - " hover_name='ref-num', size='perc_asserted_pub',\n", - " projection=\"natural earth\", labels={ \"iso_alpha\": \"Country code\", 'perc_asserted_pub': \"% of references doi asserted by publisher\", \"color\": \"Legend\" },\n", - "title=\"References DOI assertion overview - by country\")\n", - "\n", - "fig2.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - 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"ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Reference assertion overviwe - by year.", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - }, - "width": 800, - "xaxis": { - "anchor": "y", - "domain": [ - 0, - 1 - ], - "title": { - "text": "Year" - } - }, - "yaxis": { - "anchor": "x", - "domain": [ - 0, - 1 - ], - "title": { - "text": "avg of value" - } - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frame28 = frame.copy()\n", - "frame28 = frame28.apply(lambda x: pd.to_numeric(x, errors='coerce'))\n", - "frame28 = frame28[(frame28.year >= 1950)&(frame28.year < 2022)]\n", - "frame28 = frame28.groupby('year').sum()\n", - "frame28['perc_asserted_cr'] = (frame28['asserted-by-cr']/frame28['ref-num'])*100\n", - "frame28['perc_asserted_pub'] = (frame28['asserted-by-pub']/frame28['ref-num'])*100\n", - "frame28['perc_ref_nodoi'] = (frame28['ref-undefined']/frame28['ref-num'])*100\n", - 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01392-1215 2029-573110.5755/j01.eie.26.6.2584911000002020.0journal-articleLTSTM
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41392-1215 2029-573110.5755/j01.eie.24.4.2148211000002018.0journal-articleLTSTM
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")\n", - "\n", - "fig.show()\n", - "\n", - "fig.write_image(\"images/fig3.png\")" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "box": { - "visible": false - }, - "hovertemplate": "perc_ref=%{y}", - "legendgroup": "", - "marker": { - "color": "#471D6C" - }, - "name": "", - "offsetgroup": "", - "orientation": "v", - "points": "all", - "scalegroup": "True", - "showlegend": false, - "type": "violin", - "x0": " ", - "xaxis": "x", - "y": [ - 94.59665144596651, - 0, - 3.8729666924864445, - 2.401372212692967, - 94.5945945945946, - 2.1514161220043575, - 83.64485981308411, - 67.56756756756756, - 0, - 0, - 96.05911330049261, - 27.472527472527474, - 46.62162162162162, - 0, - 86.28428927680798, - 30.911330049261082, - 62.96296296296296, - 95.26315789473684, - 87.19155612608758, - 0, - 99.51219512195122, - 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"zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "title": { - "font": { - "size": 20 - }, - "text": "Percentage of reference lists registered on Crossref and DOIs assertation", - "x": 0.5, - "xanchor": "center", - "y": 0.9 - } - } - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "f = frame.copy()\n", - "f = f[f['type'].isin(['journal-article', 'book', 'book-chapter', 'proceedings-article', 'dataset', 'posted-content', 'report'])]\n", - "\n", - "new = pd.DataFrame()\n", - "\n", - "ass_cross = f['asserted-by-cr'].sum()\n", - "ass_pub = f['asserted-by-pub'].sum()\n", - "und = f['ref-undefined'].sum()\n", - "ref_defined = f['ref-num']-f['ref-undefined']\n", - "ref_defined = ref_defined.sum()\n", - "\n", - "new['val'] = [ und, ref_defined, ass_cross, ass_pub ]\n", - "new['ref'] = ['Missing/undefined doi', 'Articles with DOI reference list','Asserted by Crossref', 'Asserted by Publisher']\n", - "new['parent'] = ['', '','Articles with DOI reference list', 'Articles with DOI reference list']\n", - "\n", - "fig = px.sunburst(\n", - " new,\n", - " names='ref',\n", - " parents='parent',\n", - " values='val',\n", - " branchvalues= \"total\",\n", - " title=\"Percentage of reference lists registered on Crossref and DOIs assertation\",\n", - " color='ref', \n", - " color_discrete_map = {'Missing/undefined doi':'#34B67A','Articles with DOI reference list':'#471D6C', 'Asserted by Crossref':'#D4E129'} )\n", - "\n", - "fig.update_layout(\n", - " font_family=\"sans-serif\",\n", - " title_font_size=20,\n", - " font_size=10,\n", - " title = {'xanchor': 'center', 'y':0.9,'x':0.5},\n", - ")\n", - "\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.9 64-bit", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - 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