Evidence map›Paper›PMID 39520405›Full record

ArticleBioinformatics (Oxford, England)2024

PubMed Computed Authors in 2024: an open resource of disambiguated author names in biomedical literature.

Shubo Tian, Qingyu Chen, Donald C Comeau, W John Wilbur, Zhiyong Lu

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. 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. Article
  2. Review
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

5 authors.

Shubo TianNational Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States.ORCID 0000-0001-6415-1439
Qingyu ChenNational Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States.ORCID 0000-0002-6036-1516
Donald C ComeauNational Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States.
W John WilburNational Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States.
Zhiyong LuNational Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States.ORCID 0000-0001-9998-916X

Funding

NIH
6 · The paper itself

Abstract

summaryOver 55% of author names in PubMed are ambiguous: the same name is shared by different individual researchers. This poses significant challenges on precise literature retrieval for author name queries, a common behavior in biomedical literature search. In response, we present a comprehensive dataset of disambiguated authors. Specifically, we complement the automatic PubMed Computed Authors algorithm with the latest ORCID data for improved accuracy. As a result, the enhanced algorithm achieves high performance in author name disambiguation, and subsequently our dataset contains more than 21 million disambiguated authors for over 35 million PubMed articles and is incrementally updated on a weekly basis. More importantly, we make the dataset publicly available for the community such that it can be utilized in a wide variety of potential applications beyond assisting PubMed's author name queries. Finally, we propose a set of guidelines for best practices of authors pertaining to use of their names. AVAILABILITY AND IMPLEMENTATION: The PubMed Computed Authors dataset is publicly available for bulk download at: https://ftp.ncbi.nlm.nih.gov/pub/lu/ComputedAuthors/. Additionally, it is available for query through web API at: https://www.ncbi.nlm.nih.gov/research/bionlp/APIs/authors/.

Indexed as

AlgorithmsPubMedAuthorshipHumans

Identifiers

PMID39520405
PMCPMC11588201

What OpenQuestion holds

Textmetadata
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.