This is the first release of Biblyser, an object-oriented Python workflow for computing and analysing bibliometrics for an individual or organisation. Specifically, Biblyser can be used to:
- Search for publications associated with an individual or group
- Search for publications in Scopus, Google Scholar and CrossRef
- Fetch citations and altmetrics for a publication
- Determine the gender and affiliation of each author in a pbulication's authorship list
- Compute an individual's or group's diveristy index from publication gender and affiliation metrics
Biblyser handles the information associated with an individual, a group of authors, and a publication within four key objects:
- Name, which holds information about an individual author
- Organisation, which represents a collection of Name objects
- Bib, which hold information about a publication
- BibCollection, which represents a collection of Bib objects
Biblyser can either be installed with pip or cloned from the Github repository.
pip install biblyserpip install pybyliometrics, habanero, scholarly, gender_guesser, pandas, numpy
git clone https://github.com/GEUS-Glaciology-and-Climate/Biblyser For more information on the set up and installation, please see Biblyser's readthedocs or the Github repository.
Future developments that we are working on include
- Incorporation of other search APIs for publications
- Fetch journal impact factor
- Add "time from PhD" attribute to Name object
- Incorporate abstracts to Bib objects and enable keyword searches