Evidence map›Paper›PMID 40322502›Full record

ArticleData in brief2025

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

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

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Scaling Biomedical Text-Mining: Transformers, GenAI, and Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Liri FangSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.
Malik Oyewale SalamiSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.
Griffin M WeberDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Vetle I TorvikSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.

Funding

LIFE CYCLE EVENTS, PRODUCTIVITY, AND SCIENTIFIC IMPACTP01AG039347 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI WEINBERG, BRUCE A · 2013 to 2018
$5.4M
NIA NIH HHS P01 AG039347
6 · The paper itself

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.

Indexed as

Bibliographic databaseCitation dataCitation errors

Identifiers

PMID40322502
PMCPMC12049819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.