pybliometrics

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

Documentation: https://pybliometrics.readthedocs.io

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

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Example

.. example-begin .. code:: python

>>> # 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'

.. example-end

Installation

.. installation-begin

Install the stable version from PyPI:

.. code-block:: bash

pip install pybliometrics

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

.. code-block:: bash

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

.. installation-end

Citation

If 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 <./meta/1-s2.0-S2352711019300573-main.pdf>_", 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.

Change log

Please see CHANGES.rst <./meta/CHANGES.rst>_.

Contributing

Please see CONTRIBUTING.rst <CONTRIBUTING.rst>. For a list of contributors see AUTHORS.rst <./meta/AUTHORS.rst>.

License

MIT License; see LICENSE <LICENSE>_.