Cited by 881Research Data Management Practicesscientometrics and bibliometrics researchAcademic Publishing and Open Access

Sharing Detailed Research Data Is Associated with Increased Citation Rate

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Piwowar, Heather A., Day, Roger S., Fridsma, Douglas B.·2007·PLoS ONE

Abstract

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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Authors
Piwowar, H. A., Day, R. S., & Fridsma, D. B.
Affiliations
University of Pittsburgh (US)
Corresponding author
Piwowar, Heather A.
Venue
PLoS ONE
Published
2007-03-21
Volume
2
Issue
3
Pages
e308
ISSN
1932-6203 (ISSN-L)
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
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 › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Social Sciences › Decision Sciences › Information Systems and Management › 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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