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Meta-evaluation of meta-analysis: ten appraisal questions for biologists

Overview of attention for article published in BMC Biology, March 2017
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Title
Meta-evaluation of meta-analysis: ten appraisal questions for biologists
Published in
BMC Biology, March 2017
DOI 10.1186/s12915-017-0357-7
Pubmed ID
Authors

Shinichi Nakagawa, Daniel W. A. Noble, Alistair M. Senior, Malgorzata Lagisz

Abstract

Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of meta-analysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using non-human species, which we term 'biological' meta-analysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies 'mega-enlightenment', a 'mega-mistake', or something in between.

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Mendeley readers

The data shown below were compiled from readership statistics for 731 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Switzerland 1 <1%
France 1 <1%
Macao 1 <1%
Sweden 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 724 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 152 21%
Researcher 122 17%
Student > Master 109 15%
Student > Bachelor 62 8%
Student > Doctoral Student 48 7%
Other 95 13%
Unknown 143 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 272 37%
Environmental Science 126 17%
Biochemistry, Genetics and Molecular Biology 29 4%
Psychology 20 3%
Medicine and Dentistry 18 2%
Other 77 11%
Unknown 189 26%