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Code and some Data for Hottenrott, Rose, Lawson: "The Rise of Multiple Institutional Affiliations"
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000_journal_rankings
001_journal_coverage
002_journal_samples
097_affiliation_blacklist
098_country_whitelist
100_country_combinations
100_source_articles
990_output
.gitignore
LICENSE
README.md
_002_sample_journals.py
_100_parse_articles.py
_105_analyze_multiaff_shares.py
_125_plot_foreign_shares.py
_218_analyze_solo_papers.py
_238_describe_multiaff_combinations.py
_241_describe_usable_articles.py
definitions.cfg
graphs.cfg

README.md

The-Rise-of-Multiple-Institutional-Affiliations

Code and some Data for Hottenrott, Rose, Lawson: "The Rise of Multiple Institutional Affiliations"

Execute Python scripts in ascending order. Files will appear in the corresponding folders. Note that folder 100_source_articles is empty right now - due to Scopus' license agreement, we are not allowed to share this kind of information.

We used the following non-base Python packages:

  • matplotlib: 3.1.2
  • numpy: 1.17.4
  • pandas: 0.25.3
  • pybliometrics: 2.2.1
  • seaborn: 0.9.0
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