Diversity - PubMed Dataset

Diversity - PubMed dataset
Contact: Apratim Mishra (Aug, 2024)

This dataset presents article-level (pmid) and author-level (auid) diversity data for PubMed articles. The selection chosen includes articles retrieved from Authority 2018 [1], a total of 907 024 papers, and 1612 118 authors. The sample of articles is based on the top 40 journals in the dataset, limited to 2-12 authors published between 1991 – 2014 inclusive. Files are 'gzip' compressed and separated by tab space.
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File1: auids_plos_2.csv.gz (Important columns defined, 7 in total)
• AUID: a unique ID for each author
• Ethnea: ethnicity prediction
• Genni: gender prediction
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File2: pmids_plos_2.csv.gz (Important columns defined)
• pmid: unique paper
• auid: all unique auids
• year: Year of paper publication
• no_authors: Author count
• journal: Journal name
• years: first year of publication for every author
• age_bin: Binned age for every author
• Country-temporal: Country of affiliation for every author
• h_index: Journal h-index
• TimeNovelty: Paper Time novelty [2]
• nih_funded: Binary variable indicating funding for any author
• prior_cit_mean: Mean of all authors’ prior citation rate
• Insti_impact: All unique institutions’ citation rate
• mesh_vals: Top MeSH values for every author of that paper
• relative_citation_ratio: RCR

The ‘Readme’ includes a description for all columns.
[1] Torvik, Vetle; Smalheiser, Neil (2021): Author-ity 2018 - PubMed author name disambiguated dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2273402_V1
[2] Mishra, Shubhanshu; Torvik, Vetle I. (2018): Conceptual novelty scores for PubMed articles. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-5060298_V1