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 inScientometrics Vol. 122; no. 2; pp. 1255 - 1258
Main Author Bornmann, Lutz
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.02.2020
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN0138-9130
1588-2861
DOI10.1007/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.
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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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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SubjectTerms Bibliometrics
Computer Science
Decision trees
Heuristic
Information Storage and Retrieval
Library Science
Problem solving
Ranking
Scientometrics
Title Bibliometrics-based decision tree (BBDT) for deciding whether two universities in the Leiden ranking differ substantially in their performance
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