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Benchmarking bibliometrics in biomedical research: research performance of the University of Toronto’s Faculty of Medicine, 2008–2012

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Abstract

Bibliometrics are often used as key indicators when evaluating academic groups and individual researchers in biomedical research. Citation metrics, when used as indicators of research performance, require accurate benchmarking for homogenous groups. This study describes the research performance of academic departments in the University of Toronto’s Faculty of Medicine using article-level bibliometrics for scientific papers published from 2008 to 2012. Eligible publications of all academic faculty members were verified from each researcher’s curriculum vitae and Web of Science® (Thomson Reuters). For 3792 researchers, we identified 26,845 unique papers with 79,502 authors published from 2008 to 2012. The overall mean citations per paper for the faculty was 17.35. The academic departments with the highest levels of collaboration and interdisciplinary research activity also had the highest research impact. The citation window for biomedical scientific papers was still active at 5 years after publication, indicating that the citation window for publications in biomedical research is active longer than previously thought, and this may hinder the reliable use of bibliometrics when evaluating recent scientific publications in biomedical research.

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Acknowledgments

The authors wish to acknowledge the contribution of Cathy Grilo, Special Projects and Evaluation Coordinator, Office of the Vice Dean, Research and International Relations, Faculty of Medicine, University of Toronto to this project.

Author contribution

James D. O’Leary, Mark W. Crawford, Eva Jurczyk, and Alison Buchan helped design the study, analyzed the data, and wrote the manuscript. James D. O’Leary conducted the study.

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Correspondence to James D. O’Leary.

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O’Leary, J.D., Crawford, M.W., Jurczyk, E. et al. Benchmarking bibliometrics in biomedical research: research performance of the University of Toronto’s Faculty of Medicine, 2008–2012. Scientometrics 105, 311–321 (2015). https://doi.org/10.1007/s11192-015-1676-5

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  • DOI: https://doi.org/10.1007/s11192-015-1676-5

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