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Overall averages for publication times #1
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The table in the "Publication delays at PLOS and 3,475 other journals" blog post contains median time to acceptance and time to publication for 3,482 journals based on articles published from 2014-01-01 to 2015-06-29. Are you saying that there are journals not in this table? There are many missing journals that either weren't indexed in PubMed or didn't deposit article history dates to PubMed. Note that there is a more up to date repository than |
Hi. Sorry, I don't think I was clear. When I say "all the journals in the set" I am meaning I want an aggregate value of the mean times for all journals. Your table breaks them down by journal. Maybe I can try analysing journal-summaries.tsv. Is there some way to download this data (clicking on the link only displays it to the screen) |
Okay here's some Python code to get the mean acceptance and publication times across all articles: import pandas
url = "https://github.com/dhimmel/delays/raw/2d05dbaf2d8eaf50c35533261ba4c29b70c350a8/data/delays.tsv.gz"
delay_df = pandas.read_table(url, low_memory=False)
delay_df.groupby('delay_type').delay.mean() I've copied the output below:
So the mean submission to acceptance time was 123.8 days. And 43.1 days for
Right click the "Raw" button and select "Save link as" (or similar option). Also if you enter the link in the code snippet above in your browser, it will probably download the file. |
thanks. But I am not sure how the submission to acceptance time can be longer than the submission to publication time (since the latter includes the former)? |
My bad. 43.1 days refers to mean time for acceptance to publication. Corrected in my comment above. |
ah. got you. Thanks so much for this. Very useful to have this data. |
Hi. Managed to download journal-summaries.tsv and make an Excel file. I am a bit puzzled by some of the data relating to our journals, though. For example, our biggest journal Proc. Biol. Sci. only has 4 papers in your dataset. And the mean acceptance delay (48.5) doesn't agree with the table in your blog post here which gives 133.5. Also, Proc. Math. Phys. Eng. Sci. has a different number of articles in the acceptance and publication fields. How is that? |
The blog post Publication delays at PLOS and 3,475 other journals includes papers from a shorter timespan. Proc Biol Sci only has two articles with data, as per that table.
Publishers deposit the timestamp information to PubMed, which is optional. It may be worth checking with your tech team, to see if they can more comprehensively submit history timestamps to PubMed. It should even be possible to retroactively update the timestamps for existing PubMed records. I don't think publishers are under any obligation to submit detailed PubMed metadata, but it definitely helps the community by enabling analyses like these!
There are three relevant timestamps: submission (receival), acceptance, and publication. Articles may have some but not all of these timestamps. For example, if an article had an acceptance and publication timestamp, but not a submission timestamp, we would be unable to calculate an "acceptance delay" but could still calculate the "publication delay" (as per the implementation in |
Hi Daniel. I am just looking again at your data and I have two questions:
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Nothing new besides the blog post The history of publishing delays from February 10, 2016. Possibly of interest is
I agree that receipt to first decision is an interesting metric... and could more directly assess a journal's review speed compared to receipt to acceptance. Unfortunately, I don't think this data is widely available in PubMed. I'll let you know if I see a resource with this information. |
I have no idea how to run this (not being a programmer), but the blog post is interesting.
Thanks |
I am interested in finding a mean (or median) of time to acceptance and time to publication for all the journals in the set. Your published analyses only show these for specific journals.
I have tried analysing delays.tsv but it's too large to load into Excel. Are you able to give me these figures?
Thanks
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