Evidence map›Paper›PMID 26317409›Full record

ArticlePloS one2015

Citing a Data Repository: A Case Study of the Protein Data Bank.

Yi-Hung Huang, Peter W Rose, Chun-Nan Hsu

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Intrinsically Disordered Proteins: An Overview.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Databases, Repositories, and Other Data Resources in Structural Biology.Methods in molecular biology (Clifton, N.J.) · 2017
    Review
  13. 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

3 authors.

Yi-Hung HuangDepartment of Computer Science, National Taiwan University, Taipei 106, Taiwan; Intel-NTU Connected Context Computing Center, National Taiwan University, Taipei 106, Taiwan.
Peter W RoseRCSB Protein Data Bank, San Diego Supercomputer Center, UC San Diego, La Jolla, CA 92093, United States of America.
Chun-Nan HsuDivision of Biomedical Informatics, Department of Medicine, UC San Diego, La Jolla, CA 92093, United States of America.

Funding

BioCADDIE: Biomedical and healthCAre Data Discovery and Indexing Engine centerU24AI117966 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2014 to 2016
$10.9M
NIAID NIH HHS U24 AI117966NIAID NIH HHS U24AI117966
6 · The paper itself

Abstract

The Protein Data Bank (PDB) is the worldwide repository of 3D structures of proteins, nucleic acids and complex assemblies. The PDB's large corpus of data (> 100,000 structures) and related citations provide a well-organized and extensive test set for developing and understanding data citation and access metrics. In this paper, we present a systematic investigation of how authors cite PDB as a data repository. We describe a novel metric based on information cascade constructed by exploring the citation network to measure influence between competing works and apply that to analyze different data citation practices to PDB. Based on this new metric, we found that the original publication of RCSB PDB in the year 2000 continues to attract most citations though many follow-up updates were published. None of these follow-up publications by members of the wwPDB organization can compete with the original publication in terms of citations and influence. Meanwhile, authors increasingly choose to use URLs of PDB in the text instead of citing PDB papers, leading to disruption of the growth of the literature citations. A comparison of data usage statistics and paper citations shows that PDB Web access is highly correlated with URL mentions in the text. The results reveal the trend of how authors cite a biomedical data repository and may provide useful insight of how to measure the impact of a data repository.

Indexed as

Databases, ProteinHumans

Identifiers

PMID26317409
PMCPMC4552849

What OpenQuestion holds

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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.