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Sharing Detailed Research Data Is Associated with Increased Citation Rate
Open accessAbstract
BACKGROUND: Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. PRINCIPAL FINDINGS: We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. SIGNIFICANCE: This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.
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“Journal articles with accompanying data may be cited more frequently [248,249].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [248]
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“Data sharing is also associated with an increased number of citations.87 88”
From SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (2025) · cites this paper as [87]
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Metadata
- Authors
- Piwowar, H. A., Day, R. S., & Fridsma, D. B.
- Affiliations
- University of Pittsburgh (US)
- Corresponding author
- Piwowar, Heather A.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-03-21
- Volume
- 2
- Issue
- 3
- Pages
- e308
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC1817752
- OpenAlex
- W2046766973
- Cited by
- 881
- References
- 39
- Citations by year
- 2026: 17 · 2025: 25 · 2024: 35 · 2023: 49 · 2022: 71 · 2021: 71 · 2020: 73 · 2019: 40 · 2018: 68 · 2017: 54 · 2016: 61 · 2015: 64 · 2014: 47 · 2013: 74 · 2012: 40
- FWCI
- 50.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- D-Scholarship@Pitt (University of Pittsburgh) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Institutes of Health
- U.S. National Library of Medicine (T15LM007059)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- research data sharing, data availability, citation impact, public data, journal impact factor
- MeSH terms
- Clinical Trials as Topic, Cost-Benefit Analysis, Humans, Neoplasms, Periodicals as Topic, Publications, Regression Analysis, Internet, Oligonucleotide Array Sequence Analysis, Information Dissemination, Biomedical Research, Journal Impact Factor
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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