Feasibility of common bibliometrics in evaluating translational science
#MMPMID28480055
Schneider M
; Kane CM
; Rainwater J
; Guerrero L
; Tong G
; Desai SR
; Trochim W
J Clin Transl Sci
2017[Feb]; 1
(1
): 45-52
PMID28480055
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INTRODUCTION: A pilot study by 6 Clinical and Translational Science Awards
(CTSAs) explored how bibliometrics can be used to assess research influence.
METHODS: Evaluators from 6 institutions shared data on publications (4202 total)
they supported, and conducted a combined analysis with state-of-the-art tools.
This paper presents selected results based on the tools from 2 widely used
vendors for bibliometrics: Thomson Reuters and Elsevier. RESULTS: Both vendors
located a high percentage of publications within their proprietary databases
(>90%) and provided similar but not equivalent bibliometrics for estimating
productivity (number of publications) and influence (citation rates, percentage
of papers in the top 10% of citations, observed citations relative to expected
citations). A recently available bibliometric from the National Institutes of
Health Office of Portfolio Analysis, examined after the initial analysis, showed
tremendous potential for use in the CTSA context. CONCLUSION: Despite challenges
in making cross-CTSA comparisons, bibliometrics can enhance our understanding of
the value of CTSA-supported clinical and translational research.
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