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The information value of early career productivity in mathematics: a ROC analysis of prediction errors in bibliometricly informed decision making
2016
Scientometrics
The aim of this study was to provide a framework to evaluate bibliometric indicators as decision support tools from a decision making perspective and to examine the information value of early career publication rate as a predictor of future productivity. We used ROC analysis to evaluate a bibliometric indicator as a tool for binary decision making. The dataset consisted of 451 early career researchers in the mathematical sub-field of number theory. We investigated the effect of three different
doi:10.1007/s11192-016-2097-9
pmid:27942088
pmcid:PMC5124050
fatcat:7dl64vyvhrcmjh4xqqmyrvszze