Comment on Bornmann (2017): confidence intervals for journal impact factors
Abstract In this Letter to the Editor I comment on a recent Letter from Lutz Bornmann. I argue that the Poisson distribution is not an appropriate simplifying assumption to make when computing confidence intervals for journal impact factors.
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Volume (Year): 113 (2017)
Issue (Month): 3 (December)
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- Michael J. Stringer & Marta Sales-Pardo & Luís A. Nunes Amaral, 2010. "Statistical validation of a global model for the distribution of the ultimate number of citations accrued by papers published in a scientific journal," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1377-1385, July.
- Fok, Dennis & Franses, Philip Hans, 2007. "Modeling the diffusion of scientific publications," Journal of Econometrics, Elsevier, vol. 139(2), pages 376-390, August.
- David I. Stern, 2013.
"Uncertainty Measures for Economics Journal Impact Factors,"
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American Economic Association, vol. 51(1), pages 173-189, March.
- David I. Stern, 2013. "Uncertainty Measures for Economics Journal Impact Factors," Crawford School Research Papers 1302, Crawford School of Public Policy, The Australian National University.
- David I. Stern, 2014. "High-Ranked Social Science Journal Articles Can Be Identified from Early Citation Information," Crawford School Research Papers 1406, Crawford School of Public Policy, The Australian National University.
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