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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
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