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COVID-19, the Yule-Simpson paradox and research evaluation
descriptionPublicationkeyboard_double_arrow_right Article 2021 Belgium Publisher:Springer Science and Business Media LLC
Authors: Wang, Zhiqi; Rousseau, Ronald;
Wang, Zhiqi; Rousseau, Ronald;
doi: 10.1007/s11192-020-03830-w
handle: 10067/1765680151162165141
pmid: 33583976
pmc: PMC7867858
doi: 10.1007/s11192-020-03830-w
handle: 10067/1765680151162165141
pmid: 33583976
pmc: PMC7867858
The Yule-Simpson paradox refers to the fact that outcomes of comparisons between groups are reversed when groups are combined. Using Essential Sciences Indicators, a part of InCites (Clarivate), data for countries, it is shown that although the Yule-Simpson phenomenon in citation analysis and research evaluation is not common, it isn't extremely rare either. The Yule-Simpson paradox is a phenomenon one should be aware of, otherwise one may encounter unforeseen surprises in scientometric studies. ispartof: SCIENTOMETRICS vol:126 issue:4 pages:3501-3511 ispartof: location:Switzerland status: published
downloaddonwloadFull-Text
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Scientometrics
Article . 2021 . Peer-reviewed
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Full-Text: https://link.springer.com/content/pdf/10.1007/s11192-020-03830-w.pdf
Data sources: Crossref; WHO Global literature on coronavirus disease
Scientometrics
Article . 2021
Full-Text: http://europepmc.org/articles/PMC7867858
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Article . 2021
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Article . 2021 . Peer-reviewed
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Data sources: Crossref; WHO Global literature on coronavirus disease
Scientometrics
Article . 2021
Full-Text: http://europepmc.org/articles/PMC7867858
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Article . 2021
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Using neural-network based paragraph embeddings for the calculation of within and between document similarities
descriptionPublicationkeyboard_double_arrow_right Article 2020 Belgium Publisher:Springer Science and Business Media LLC
Authors: Bart Thijs;
Bart Thijs;
doi: 10.1007/s11192-020-03583-6
doi: 10.1007/s11192-020-03583-6
ispartof: SCIENTOMETRICS vol:125 issue:2 pages:835-849 status: published
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The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”
descriptionPublicationkeyboard_double_arrow_right Article 2018 Belgium Publisher:Springer Science and Business Media LLC
Authors: Bart Thijs; Wolfgang Glänzel;
Bart Thijs; Wolfgang Glänzel;
doi: 10.1007/s11192-018-2659-0
doi: 10.1007/s11192-018-2659-0
The introduction of textual analysis and the use of lexical similarities already proved an important asset in science mapping. Earlier research showed the added value of hybrid document networks over link-based ones through the reduction of the extreme sparseness. However, it was only after the application of Natural Language Processing and phrase extraction that networks purely based on lexical similarities could be used as input for topic detection in quantitative science studies. This study investigates the contribution of the lexical component in hybrid cluster on a set of articles published in the journal Scientometrics since its foundation during four decades. Shifting the weight of the lexical components generates changes in the structure of the underlying hybrid network, which can be detected through clustering techniques. We show that these changes are not moving documents randomly, but in fact identify small groups of papers either at the borderline between different topics or combining those. In addition, the analysis substantiates that the lexical component adopts the structure of the network rather than amplifies hidden structures of the link-based network. ispartof: Scientometrics vol:115 issue:1 pages:1-13 status: published
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Article . 2018
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Editorial preface to the Eugene Garfield Memorial Issue
descriptionPublicationkeyboard_double_arrow_right Article 2018 Belgium Publisher:Springer Science and Business Media LLC
Authors: Glanzel, W; Schubert, A; Braun, T;
Glanzel, W; Schubert, A; Braun, T;
doi: 10.1007/s11192-018-2643-8
doi: 10.1007/s11192-018-2643-8
ispartof: SCIENTOMETRICS vol:114 issue:2 pages:371-372 status: published
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Article . 2018
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Article . 2018 . Peer-reviewed
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Article . 2018
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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.

COVID-19, the Yule-Simpson paradox and research evaluation
descriptionPublicationkeyboard_double_arrow_right Article 2021 Belgium Publisher:Springer Science and Business Media LLC
Authors: Wang, Zhiqi; Rousseau, Ronald;
Wang, Zhiqi; Rousseau, Ronald;
doi: 10.1007/s11192-020-03830-w
handle: 10067/1765680151162165141
pmid: 33583976
pmc: PMC7867858
doi: 10.1007/s11192-020-03830-w
handle: 10067/1765680151162165141
pmid: 33583976
pmc: PMC7867858
The Yule-Simpson paradox refers to the fact that outcomes of comparisons between groups are reversed when groups are combined. Using Essential Sciences Indicators, a part of InCites (Clarivate), data for countries, it is shown that although the Yule-Simpson phenomenon in citation analysis and research evaluation is not common, it isn't extremely rare either. The Yule-Simpson paradox is a phenomenon one should be aware of, otherwise one may encounter unforeseen surprises in scientometric studies. ispartof: SCIENTOMETRICS vol:126 issue:4 pages:3501-3511 ispartof: location:Switzerland status: published
downloaddonwloadFull-Text
Scientometricsarrow_drop_down
Scientometrics
Article . 2021 . Peer-reviewed
License: Springer TDM
Full-Text: https://link.springer.com/content/pdf/10.1007/s11192-020-03830-w.pdf
Data sources: Crossref; WHO Global literature on coronavirus disease
Scientometrics
Article . 2021
Full-Text: http://europepmc.org/articles/PMC7867858
Data sources: PubMed Central
Institutional Repository Universiteit Antwerpen
Article . 2021
Data sources: Institutional Repository Universiteit Antwerpen
Scientometrics
Article
Data sources: UnpayWall
Lirias
Article . 2021
Data sources: Lirias
Scientometrics
Article . 2020
Data sources: Europe PubMed Central
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downloaddonwloadFull-Text
Scientometricsarrow_drop_down
Scientometrics
Article . 2021 . Peer-reviewed
License: Springer TDM
Full-Text: https://link.springer.com/content/pdf/10.1007/s11192-020-03830-w.pdf
Data sources: Crossref; WHO Global literature on coronavirus disease
Scientometrics
Article . 2021
Full-Text: http://europepmc.org/articles/PMC7867858
Data sources: PubMed Central
Institutional Repository Universiteit Antwerpen
Article . 2021
Data sources: Institutional Repository Universiteit Antwerpen
Scientometrics
Article
Data sources: UnpayWall
Lirias
Article . 2021
Data sources: Lirias
Scientometrics
Article . 2020
Data sources: Europe PubMed Central
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Using neural-network based paragraph embeddings for the calculation of within and between document similarities
descriptionPublicationkeyboard_double_arrow_right Article 2020 Belgium Publisher:Springer Science and Business Media LLC
Authors: Bart Thijs;
Bart Thijs;
doi: 10.1007/s11192-020-03583-6
doi: 10.1007/s11192-020-03583-6
ispartof: SCIENTOMETRICS vol:125 issue:2 pages:835-849 status: published
Liriasarrow_drop_down
Lirias
Article . 2020
Data sources: Lirias
Scientometrics
Article . 2020 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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7
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Article . 2020
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Scientometrics
Article . 2020 . Peer-reviewed
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The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”
descriptionPublicationkeyboard_double_arrow_right Article 2018 Belgium Publisher:Springer Science and Business Media LLC
Authors: Bart Thijs; Wolfgang Glänzel;
Bart Thijs; Wolfgang Glänzel;
doi: 10.1007/s11192-018-2659-0
doi: 10.1007/s11192-018-2659-0
The introduction of textual analysis and the use of lexical similarities already proved an important asset in science mapping. Earlier research showed the added value of hybrid document networks over link-based ones through the reduction of the extreme sparseness. However, it was only after the application of Natural Language Processing and phrase extraction that networks purely based on lexical similarities could be used as input for topic detection in quantitative science studies. This study investigates the contribution of the lexical component in hybrid cluster on a set of articles published in the journal Scientometrics since its foundation during four decades. Shifting the weight of the lexical components generates changes in the structure of the underlying hybrid network, which can be detected through clustering techniques. We show that these changes are not moving documents randomly, but in fact identify small groups of papers either at the borderline between different topics or combining those. In addition, the analysis substantiates that the lexical component adopts the structure of the network rather than amplifies hidden structures of the link-based network. ispartof: Scientometrics vol:115 issue:1 pages:1-13 status: published
Scientometricsarrow_drop_down
Scientometrics
Article
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Lirias
Article . 2018
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Scientometrics
Article . 2018 . Peer-reviewed
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Scientometrics
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Article . 2018
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Editorial preface to the Eugene Garfield Memorial Issue
descriptionPublicationkeyboard_double_arrow_right Article 2018 Belgium Publisher:Springer Science and Business Media LLC
Authors: Glanzel, W; Schubert, A; Braun, T;
Glanzel, W; Schubert, A; Braun, T;
doi: 10.1007/s11192-018-2643-8
doi: 10.1007/s11192-018-2643-8
ispartof: SCIENTOMETRICS vol:114 issue:2 pages:371-372 status: published
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Article . 2018
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Scientometrics
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Article . 2018 . Peer-reviewed
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Digital Humanities and Cultural Heritage
2017-2021
Open Access
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BE
Scientometrics

COVID-19, the Yule-Simpson paradox and research evaluation

Using neural-network based paragraph embeddings for the calculation of within and between document similarities

The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”

Editorial preface to the Eugene Garfield Memorial Issue

COVID-19, the Yule-Simpson paradox and research evaluation

Using neural-network based paragraph embeddings for the calculation of within and between document similarities

The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”

Editorial preface to the Eugene Garfield Memorial Issue

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