PLoS ONE · 2007 · 906 citations · 32 references
Public HealthBioinformaticsBiostatisticsCancer EpidemiologyClinical Data ManagementEpidemiologic MethodsBibliometric AnalysisClinical Trial Data CollectionData AnalysisData SharingResearch Data ManagementStudy DesignClinical Data SharingData CitationGenomic Data SharingImpact FactorLinear RegressionMicroarray AnalysisResearch Data CurationSharing Of Research Results
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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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform
Daniel R. Rhodes, Jianjun Yu, K. Shanker et al. · Neoplasia · 2004 · 3.7K citations · Full text
Why the impact factor of journals should not be used for evaluating research
Per O. Seglen · BMJ · 1997 · 2.5K citations