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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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How do NIHR peer review panels use bibliometric information to support their decisions?
Salil Gunashekar1, Steven Wooding2, Susan Guthrie1
1RAND Europe, Cambridge, CB4 1YG UK.
Scientometrics
|August 15, 2017
Summary
Research funding panels broadly support bibliometrics, finding normalized citation scores most useful for initial candidate assessments. Improved understanding of bibliometric techniques is key to addressing cross-field comparability concerns.
Area of Science:
- Research Evaluation
- Bibliometrics
- Science Policy
Background:
- Bibliometrics is a common tool for evaluating research and development (R&D).
- The National Institute for Health Research (NIHR) in the UK uses bibliometric analysis in funding decisions.
- Understanding the practical application of bibliometrics in R&D funding is crucial.
Purpose of the Study:
- To investigate how bibliometric information influences decision-making in research funding panels.
- To identify which bibliometric measures are most and least useful to panel members.
- To uncover challenges faced by panel members when using bibliometric data.
Main Methods:
- Interviews with ten panel members from three NIHR panels.
- Analysis of information provided to the award selection panels.
- Qualitative assessment of bibliometric data usage in R&D decision-making.
Main Results:
- Panel members generally support the use of bibliometrics in R&D evaluations.
- Bibliometric data are primarily utilized during the initial individual assessment of candidates.
- Normalized citation scores and proportion of highly cited papers are considered most useful measures.
Conclusions:
- Bibliometrics are broadly accepted and useful in R&D funding evaluations, particularly in initial assessments.
- Concerns about cross-field comparability stem from a lack of understanding, highlighting the need for effective background information.
- Guidance on providing bibliometric data to research funding panels is proposed based on observed panel behavior and concerns.
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