Uncitedness in the biomedical literature
Journal of the American Society for Information Science
Web citation data for impact assessment: A comparison of four science disciplines: Book Reviews
Journal of the American Society for Information Science and Technology
Citation Analysis in Research Evaluation (Information Science & Knowledge Management)
Citation Analysis in Research Evaluation (Information Science & Knowledge Management)
Journal of the American Society for Information Science and Technology
The multilayered nature of reference selection
Journal of the American Society for Information Science and Technology
Comparing bibliometric statistics obtained from the Web of Science and Scopus
Journal of the American Society for Information Science and Technology
Problems of citation analysis: A study of uncited and seldom-cited influences
Journal of the American Society for Information Science and Technology
Assessing the citation impact of books: The role of Google Books, Google Scholar, and Scopus
Journal of the American Society for Information Science and Technology
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Faculty of 1000 (F1000) is a post-publishing peer review web site where experts evaluate and rate biomedical publications. F1000 reviewers also assign labels to each paper from a standard list or article types. This research examines the relationship between article types, citation counts and F1000 article factors (FFa). For this purpose, a random sample of F1000 medical articles from the years 2007 and 2008 were studied. In seven out of the nine cases, there were no significant differences between the article types in terms of citation counts and FFa scores. Nevertheless, citation counts and FFa scores were significantly different for two article types: "New finding" and "Changes clinical practice": FFa scores value the appropriateness of medical research for clinical practice and "New finding" articles are more highly cited. It seems that highlighting key features of medical articles alongside ratings by Faculty members of F1000 could help to reveal the hidden value of some medical papers.