Identification of potential young talented individuals in the natural and life sciences: A bibliometric approach |
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| Institution: | 1. Max Planck Institute for Solid State Research, Heisenbergstr. 1, Stuttgart 70569 Germany;2. Science Policy and Strategy Department, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, Munich 80539 Germany;1. Harbin Institute of Technology (Shenzhen), School of Economics and Management, Shenzhen, China;2. World Intellectual Property Organization, Geneva, Switzerland;3. CIRCLE, Lund University, P.O. Box 7080, Lund S-220 07, Sweden;4. Institute for Future Initiative, The University of Tokyo, Tokyo, Japan;1. School of Information Management, Sun Yat-sen University, Guangzhou 510006, China;2. University of Science and Technology of China, Hefei, Anhui 230026, China;3. School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;1. Center for Studies of Information Resources, Wuhan University, Wuhan, China;2. School of Information Management, Wuhan University, Wuhan, China;1. School of Information Management, Sun Yat-sen University, No.132, Waihuan East Road, Guangzhou Higher Education Mega Center, Panyu District, Guangzhou, 510006, P. R. China;2. Center for Studies of Information Resources, Wuhan University, Wuhan, Hubei, China;3. Westlake High School, Austin, Texas, America;4. Department of Information Management, Peking University, Beijing, China |
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| Abstract: | Identification of young talented individuals based on bibliometric data is not an easy task. Citation-based data usually need too long to accrue. In this study, we propose a method for the identification of potential young talented individuals which is not citation-based. Since potential talent is defined in this study in terms of early publication performance, three different indicators and their combinations were used: We not only used (1) the number of papers in high-impact journals, but also (2) the total number of papers, and (3) the number of papers as a corresponding author. An older cohort including potential talents with their first publication between 1999 and 2003 was used to find the most suitable indicator combination. Two additional indicators were used for the validation step: (1) The citation impact on the level of individual papers and (2) the number of papers that are linked to grants. The best performing indicator combination was applied to the time period 2007–2011 for identifying young potentially talented individuals who published their first paper within this time period. We produced a set of 46,200 potentially talented individuals that can be downloaded free of charge. |
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