Work

uCite: The union of nine large-scale public PubMed citation datasets with reliability filtering

Year: 2025

Type: data-paper

Abstract: 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.

Source: Data in Brief

DOI: 10.1016/j.dib.2025.111535

Authors: Liri Fang, Malik Oyewale Salami, Griffin M. Weber, Vetle I. Torvik

Institutions: University of Illinois Urbana-Champaign, Harvard University

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,220

Funders: National Institutes of Health, National Institute on Aging