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Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers

Bibliographic Data

ID21255780
AuthorsLutz Bornmann (0000-0003-0810-7091, Max Planck Society), Sitaram Devarakonda (0000-0001-7722-756X, NETE (United States)), Alexander Tekles (0000-0001-8765-9331, Max Planck Society), George Chacko (0000-0002-2127-1892, NETE (United States))
Year2020
Volume1
Issue3
Pages1242-1259
Publication date2020-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueQuantitative Science Studies (JOURNAL)
Journal identifiersISSN: 2641-3337 • E-ISSN: 2641-3337
PublisherMIT Press (PUBLISHER • US)
DOI10.1162/qss_a_00068
OpenAlexW2990160624
LanguageEN
Citations received22
References cited43

Recently, Wu, Wang, and Evans (2019) proposed a new family of indicators, which measure whether a scientific publication is disruptive to a field or tradition of research. Such disruptive influences are characterized by citations to a focal paper, but not its cited references. In this study, we are interested in the question of convergent validity. We used external criteria of newness to examine convergent validity: In the postpublication peer review system of F1000Prime, experts assess papers whether the reported research fulfills these criteria (e.g., reports new findings). This study is based on 120,179 papers from F1000Prime published between 2000 and 2016. In the first part of the study we discuss the indicators. Based on the insights from the discussion, we propose alternate variants of disruption indicators. In the second part, we investigate the convergent validity of the indicators and the (possibly) improved variants. Although the results of a factor analysis show that the different variants measure similar dimensions, the results of regression analyses reveal that one variant ( DI 5 ) performs slightly better than the others

Convergent evolution · Convergent validity · Correlation · Academic Publishing and Open Access · Innovation, Sustainability, Human-Machine Systems · scientometrics and bibliometrics research

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    Open Access•Yuyan Jiang, Xueli Liu•Scientometrics•2023

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    Open Access•Alex J Yang, Hongcun Gong et al.•Scientometrics•2024

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  • Measurement of disruptive innovation and its validity based on improved disruption index

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  • Specification uncertainty

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    Open Access•Amanda M Petersen, Felber J Arroyave et al.•Quantitative Science Studies•2024

  • Dimensions

    Open Access•Joerg Sixt, Michele Pasin•Quantitative Science Studies•2024

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    Open Access•Yiling Lin, Linzhuo Li et al.•Quantitative Science Studies•2026

  • Conceptual structure and the growth of scientific knowledge

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    Open Access•Lingfei Wu, Dashun Wang et al.•Nature•2019

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    Open Access•Lutz Bornmann, Alexander Tekles•El Profesional de la Informacion•2019

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  • Providing family planning services to remote communities in areas of high biodiversity through a Population-Health-Environment programme in Madagascar

    Vik Mohan, Tess Shellard•Reproductive Health Matters•2014

Unique citing works22
Citations per year4.4
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 22

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