Match authors automatically in Scopus on-line
Documentation: https://sosia.readthedocs.io
Development: https://github.com/sosia-dev/sosia
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.. image:: https://img.shields.io/pypi/l/sosia.svg :target: https://img.shields.io/pypi/l/sosia.svg
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Install stable version from PyPI:
.. code:: bash
pip install sosia
or development version from GitHub repository:
.. code:: bash
pip install git+https://github.com/sosia-dev/sosia
sosia performs a series of queries in the Scopus database using the pybliometrics package <http://pybliometrics.readthedocs.io/>
_. After configuring your local pybliometrics (providing access credentials and eventually setting cache directories), you can use sosia:
.. inclusion-marker-start .. code-block:: python
>>> import sosia
>>>
>>> sosia.get_field_source_information() # Necessary only once
>>> sosia.make_database() # Necessary only once
>>>
>>> stefano = sosia.Original(55208373700, 2019) # Scopus ID and year
>>> stefano.define_search_sources() # Sources similiar to scientist
>>> stefano.define_search_group() # Authors publishing in similar sources
>>> stefano.find_matches() # Find matches satisfying all criteria
>>> print(stefano.matches)
>>> [55320703900, 55817553500, 56113324000, 56276429200]
>>> stefano.inform_matches() # Optional step to provide additional information
>>> print(stefano.matches[0])
Match(ID=55320703900, name='Arts, Sam', first_name='Sam', surname='Arts',
first_year=2012, num_coauthors=9, num_publications=8, num_citations=74,
num_coauthors_period=None, num_publications_period=None, num_citations_period=None, subjects=['BUSI', 'ECON', 'DECI'],
affiliation_country='Belgium', affiliation_id='60025063',
affiliation_name='KU Leuven', affiliation_type='univ',
language='eng', num_cited_refs=28)
.. inclusion-marker-end
Please see CHANGES.rst <./meta/CHANGES.rst>
_.
Please see CONTRIBUTING.rst <CONTRIBUTING.rst>
. For the list of contributors see
AUTHORS.rst <./meta/AUTHORS.rst>
.
MIT License; see LICENSE <LICENSE>
_.