uCite: The union of nine large-scale public PubMed citation datasets with reliability filtering
There has been a recent push to make public, aggregate, and increase coverage of bibliographic citation data. Here we describe uCite, a citation dataset containing 564 million PubMed citation pairs aggregated from the following nine sources: PubMed Central, iCite, OpenCitations, Dimensions, Microsoft Academic Graph, Aminer, Semantic Scholar, Lens, and OpCitance. Of these, 51 million (9%) were labeled unreliable, as determined by patterns of source discrepancies explained by ambiguous metadata, crosswalk, and typographical errors, citing future publications, and multi-paper documents. Each source contributes to improved coverage and reliability, but varies dramatically in precision and recall, estimates of which are contrasted with the Web of Science and Scopus herein.
Authors
- Liri Fang (ORCID: https://orcid.org/0000-0002-0237-3367)
- Griffin M. Weber (ORCID: https://orcid.org/0000-0002-2597-881X)
- Malik Oyewale Salami (ORCID: https://orcid.org/0000-0002-2329-5660)
- Vetle I. Torvik (ORCID: https://orcid.org/0000-0002-0035-1850)
Institutions
- Harvard University (US)
- University of Illinois Urbana-Champaign (US)
Publication Details
- Journal
- Data in Brief
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1016/j.dib.2025.111535
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Institutes of Health
- National Institute on Aging