Identification of young talented individuals in the natural and life sciences using bibliometric data
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2022
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| _version_ | 1866917744529637376 |
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| author | Bornmann, Lutz Haunschild, Robin |
| author_facet | Bornmann, Lutz Haunschild, Robin |
| contents | Identification of young talented individuals is not an easy task. Citation-based data usually need too long to accrue. In this study, we proposed a method based on bibliometric data for the identification of young talented individuals. Three different indicators and their combinations were used. An older cohort with their first publication between 1999 and 2003 was used to find the most suitable indicator combination. For the validation step, citation impact on the level of individual papers was used. The best performing indicator combination was applied to the time period 2007-2011 for identifying young talented individuals who published their first paper within this time period. We produced a set of 46,200 potential talented individuals. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2206_12343 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Identification of young talented individuals in the natural and life sciences using bibliometric data Bornmann, Lutz Haunschild, Robin Digital Libraries Identification of young talented individuals is not an easy task. Citation-based data usually need too long to accrue. In this study, we proposed a method based on bibliometric data for the identification of young talented individuals. Three different indicators and their combinations were used. An older cohort with their first publication between 1999 and 2003 was used to find the most suitable indicator combination. For the validation step, citation impact on the level of individual papers was used. The best performing indicator combination was applied to the time period 2007-2011 for identifying young talented individuals who published their first paper within this time period. We produced a set of 46,200 potential talented individuals. |
| title | Identification of young talented individuals in the natural and life sciences using bibliometric data |
| topic | Digital Libraries |
| url | https://arxiv.org/abs/2206.12343 |