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F1000 is a post-publication peer review service for biological and medicalresearch. F1000 aims to recommend important publications in the biomedicalliterature, and from this perspective F1000 could be an interesting tool forresearch evaluation. By linking the complete database of F1000 recommendationsto the Web of Science bibliographic database, we are able to make acomprehensive comparison between F1000 recommendations and citations. We findthat about 2% of the publications in the biomedical literature receive at leastone F1000 recommendation. Recommended publications on average receive 1.30recommendations, and over 90% of the recommendations are given within half ayear after a publication has appeared. There turns out to be a clearcorrelation between F1000 recommendations and citations. However, thecorrelation is relatively weak, at least weaker than the correlation betweenjournal impact and citations. More research is needed to identify the mainreasons for differences between recommendations and citations in assessing theimpact of publications.

F1000 recommendations as a new data source for research evaluation: A comparison with citations