Bibliometrics-based decision tree (BBDT) for deciding whether two universities in the Leiden ranking differ substantially in their performance
Fast-and-frugal heuristics are simple judgement strategies that are based on only a few predictor variables. Bornmann and Marewski (Scientometrics 120(2):419–459, 2019) introduced bibliometrics-based heuristics (BBHs) which are judgement strategies in evaluative bibliometrics being solely based on p...
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Published in | Scientometrics Vol. 122; no. 2; pp. 1255 - 1258 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.02.2020
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0138-9130 1588-2861 |
DOI | 10.1007/s11192-019-03319-1 |
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Abstract | Fast-and-frugal heuristics are simple judgement strategies that are based on only a few predictor variables. Bornmann and Marewski (Scientometrics 120(2):419–459, 2019) introduced bibliometrics-based heuristics (BBHs) which are judgement strategies in evaluative bibliometrics being solely based on publication and/or citation data. To support the understanding and applying of BBHs, Bornmann (in press) proposed bibliometrics-based decision trees (BBDTs) that are visualized BBHs. In this letter to the editor, a BBDT is presented that can be used for the interpretation of results from the Leiden ranking. |
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AbstractList | Fast-and-frugal heuristics are simple judgement strategies that are based on only a few predictor variables. Bornmann and Marewski (Scientometrics 120(2):419–459, 2019) introduced bibliometrics-based heuristics (BBHs) which are judgement strategies in evaluative bibliometrics being solely based on publication and/or citation data. To support the understanding and applying of BBHs, Bornmann (in press) proposed bibliometrics-based decision trees (BBDTs) that are visualized BBHs. In this letter to the editor, a BBDT is presented that can be used for the interpretation of results from the Leiden ranking. Fast-and-frugal heuristics are simple judgement strategies that are based on only a few predictor variables. Bornmann and Marewski (Scientometrics 120(2):419–459, 2019) introduced bibliometrics-based heuristics (BBHs) which are judgement strategies in evaluative bibliometrics being solely based on publication and/or citation data. To support the understanding and applying of BBHs, Bornmann (in press) proposed bibliometrics-based decision trees (BBDTs) that are visualized BBHs. In this letter to the editor, a BBDT is presented that can be used for the interpretation of results from the Leiden ranking. |
Author | Bornmann, Lutz |
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Cites_doi | 10.1016/j.ejor.2015.04.002 10.1002/asi.22803 10.1007/s11192-018-2700-3 10.1038/520429a 10.1037/0003-066x.60.2.170 10.1016/j.joi.2011.11.006 10.1038/embor.2012.99 10.1007/s11192-019-03018-x 10.1002/asi.22708 10.1038/490335a |
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Keywords | Bibliometrics-based heuristic (BBH) Bibliometrics-based decision tree (BBDT) Bibliometrics Heuristics |
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References | Hicks, Wouters, Waltman, de Rijcke, Rafols (CR10) 2015; 520 CR4 Waltman, Calero-Medina, Kosten, Noyons, Tijssen, van Eck, Wouters (CR14) 2012; 63 Bornmann (CR3) 2013; 64 Bornmann, de Moya Anegón, Leydesdorff (CR5) 2012; 6 Cumming, Finch (CR8) 2005; 60 CR13 Bornmann (CR2) 2012; 13 (CR12) 2017 Adams (CR1) 2012; 490 Bornmann, Glänzel (CR6) 2018; 115 Mingers, Leydesdorff (CR11) 2015; 246 (CR9) 1999 Bornmann, Marewski (CR7) 2019; 120 L Bornmann (3319_CR7) 2019; 120 D Hicks (3319_CR10) 2015; 520 StataCorp. (3319_CR12) 2017 3319_CR13 3319_CR4 L Bornmann (3319_CR3) 2013; 64 J Mingers (3319_CR11) 2015; 246 Gigerenzer, G., Todd, P. M., & ABC Research Group (3319_CR9) 1999 G Cumming (3319_CR8) 2005; 60 L Bornmann (3319_CR6) 2018; 115 L Bornmann (3319_CR2) 2012; 13 J Adams (3319_CR1) 2012; 490 L Bornmann (3319_CR5) 2012; 6 L Waltman (3319_CR14) 2012; 63 |
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Title | Bibliometrics-based decision tree (BBDT) for deciding whether two universities in the Leiden ranking differ substantially in their performance |
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