Skip to content

LMBertholdo/pybliometrics

Repository files navigation

pybliometrics

Access Elsevier Scopus's API from Python on a large scale.

Documentation: https://pybliometrics.readthedocs.io

Development: https://github.com/pybliometrics-dev/pybliometrics

https://readthedocs.org/projects/pybliometrics/badge/?version=stable https://api.codeclimate.com/v1/badges/a4d7edd206a1252dfcfe/maintainability

Example

>>> # 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
[Affiliation(id='60105007', parent=None, type='parent', relationship='author', afdispname=None,
preferred_name='Max Planck Institute for Innovation and Competition', parent_preferred_name=None,
country_code='deu', country='Germany', address_part='Marstallplatz 1', city='Munich', state=None,
postal_code='80539', org_domain=None, org_URL='http://www.ip.mpg.de/')]
>>> # Affiliation information
>>> from pybliometrics.scopus import ContentAffiliationRetrieval
>>> aff1 = ContentAffiliationRetrieval(au1.affiliation_current[0].id)
>>> aff1.author_count
'72'

Installation

Install the stable version from PyPI:

pip install pybliometrics

or the development version from the GitHub repository (requires git on your system):

pip install git+git://github.com/pybliometrics-dev/pybliometrics

Citation

If pybliometrics helped you getting data for research, please cite our corresponding paper:

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.

Change log

Please see CHANGES.rst.

Contributing

Please see CONTRIBUTING.rst. For a list of contributors see AUTHORS.rst.

License

MIT License; see LICENSE.

About

Python-based API-Wrapper to access Scopus

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%