Biblyser v0.0.1

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 biblyser

pip 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