Access Elsevier Scopus's API from Python on a large scale.
Documentation: https://pybliometrics.readthedocs.io
Development: https://github.com/pybliometrics-dev/pybliometrics
>>> # Document-specific information
>>> from pybliometrics.scopus import AbstractRetrieval
>>> ab = AbstractRetrieval("10.1016/j.softx.2019.100263")
>>> ab.title
'pybliometrics: Scriptable bibliometrics using a Python interface to Scopus'
>>> ab.publicationName
'SoftwareX'
>>> ab.authors
[Author(auid='57209617104', indexed_name='Rose M.E.', surname='Rose', given_name='Michael E.', affiliation=['60105007']),
Author(auid='7004212771', indexed_name='Kitchin J.R.', surname='Kitchin', given_name='John R.', affiliation=['60027950'])]
>>> # Author-specific information
>>> from pybliometrics.scopus import AuthorRetrieval
>>> au2 = AuthorRetrieval(ab.authors[1].auid)
>>> au2.h_index
'30'
>>> au1 = AuthorRetrieval(ab.authors[0].auid)
>>> au1.affiliation_current
'60105007'
>>> # Affiliation information
>>> from pybliometrics.scopus import ContentAffiliationRetrieval
>>> aff1 = ContentAffiliationRetrieval(au1.affiliation_current)
>>> aff1.affiliation_name
'Max Planck Institute for Innovation and Competition'Install the stable version from PyPI:
pip install pybliometricsor the development version from the GitHub repository (requires git on your system):
pip install git+git://github.com/pybliometrics-dev/pybliometricsIf pybliometrics helped you getting data for research, please cite our corresponding paper:
- Rose, Michael E. and John R. Kitchin: "pybliometrics: Scriptable bibliometrics using a Python interface to Scopus", SoftwareX 10 (2019) 100263.
Citing the paper helps the development of pybliometrics, because it justifies funneling resources into the development. It also signals that you obtained data from Scopus in a transparent and replicable way.
Please see CHANGES.rst.
Please see CONTRIBUTING.rst. For a list of contributors see AUTHORS.rst.
MIT License; see LICENSE.