Search (16 results, page 1 of 1)

  • × theme_ss:"Informetrie"
  • × year_i:[2020 TO 2030}
  1. Krattenthaler, C.: Was der h-Index wirklich aussagt (2021) 0.05
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    Abstract
    Diese Note legt dar, dass der sogenannte h-Index (Hirschs bibliometrischer Index) im Wesentlichen dieselbe Information wiedergibt wie die Gesamtanzahl von Zitationen von Publikationen einer Autorin oder eines Autors, also ein nutzloser bibliometrischer Index ist. Dies basiert auf einem faszinierenden Satz der Wahrscheinlichkeitstheorie, der hier ebenfalls erläutert wird.
    Content
    Vgl.: DOI: 10.1515/dmvm-2021-0050. Auch abgedruckt u.d.T.: 'Der h-Index - "ein nutzloser bibliometrischer Index"' in Open Password Nr. 1007 vom 06.12.2021 unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzM3NCwiZDI3MzMzOTEwMzUzIiwwLDAsMzQ4LDFd.
    Object
    h-index
  2. Dederke, J.; Hirschmann, B.; Johann, D.: ¬Der Data Citation Index von Clarivate : Eine wertvolle Ressource für die Forschung und für Bibliotheken? (2022) 0.04
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    Abstract
    Der Data Citation Index (DCI) stellt eine durchsuchbare Sammlung bibliografischer Metadaten zu Forschungsdaten in Datensätzen und Datenstudien ausgewählter Repositorien dar. Der DCI deckt alle wissenschaftlichen Disziplinen ab.
    Object
    Data Citation Index
  3. Haley, M.R.: ¬A simple paradigm for augmenting the Euclidean index to reflect journal impact and visibility (2020) 0.02
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    Abstract
    This article offers an adjustment to the recently developed Euclidean Index (Perry and Reny, 2016). The proposed companion metric reflects the impact of the journal in which an article appears; the rationale for incorporating this information is to reflect higher costs of production and higher review standards, and to mitigate the heavily truncated citation counts that often arise in promotion, renewal, and tenure deliberations. Additionally, focusing jointly on citations and journal impact diversifies the assessment process, and can thereby help avoid misjudging scholars with modest citation counts in high-level journals. A combination of both metrics is also proposed, which nests each as a special case. The approach is demonstrated using a generic journal ranking metric, but can be adapted to most any stated or revealed preference measure of journal impact.
  4. Liu, X.; Bu, Y.; Li, M.; Li, J.: Monodisciplinary collaboration disrupts science more than multidisciplinary collaboration (2024) 0.02
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    Abstract
    Collaboration across disciplines is a critical form of scientific collaboration to solve complex problems and make innovative contributions. This study focuses on the association between multidisciplinary collaboration measured by coauthorship in publications and the disruption of publications measured by the Disruption (D) index. We used authors' affiliations as a proxy of the disciplines to which they belong and categorized an article into multidisciplinary collaboration or monodisciplinary collaboration. The D index quantifies the extent to which a study disrupts its predecessors. We selected 13 journals that publish articles in six disciplines from the Microsoft Academic Graph (MAG) database and then constructed regression models with fixed effects and estimated the relationship between the variables. The findings show that articles with monodisciplinary collaboration are more disruptive than those with multidisciplinary collaboration. Furthermore, we uncovered the mechanism of how monodisciplinary collaboration disrupts science more than multidisciplinary collaboration by exploring the references of the sampled publications.
  5. Tausch, A.: Zitierungen sind nicht alles : Classroom Citation, Libcitation und die Zukunft bibliometrischer und szientometrischer Leistungsvergleiche (2022) 0.02
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    Abstract
    Der Beitrag soll zeigen, welche fortgeschrittenen bibliometrischen und szientometrischen Daten für ein bewährtes Sample von 104 österreichischen Politikwissenschaftler*innen und 51 transnationalen Verlagsunternehmen enge statistische Beziehungen zwischen Indikatoren der Präsenz von Wissenschaftler*innen und transnationalen Verlagsunternehmen in den akademischen Lehrveranstaltungen der Welt (Classroom Citation, gemessen mit Open Syllabus) und anderen, herkömmlicheren bibliometrischen und szientometrischen Indikatoren (Libcitation gemessen mit dem OCLC Worldcat, sowie der H-Index der Zitierung in den vom System Scopus erfassten Fachzeitschriften der Welt bzw. dem Book Citation Index) bestehen. Die statistischen Berechnungen zeigen, basierend auf den Faktorenanalysen, die engen statistischen Beziehungen zwischen diesen Dimensionen. Diese Ergebnisse sind insbesondere in den Tabellen 5 und 9 dieser Arbeit (Komponentenkorrelationen) ableitbar.
  6. Positionspapier der DMV zur Verwendung bibliometrischer Daten (2020) 0.02
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    Object
    h-index
  7. Manley, S.: Letters to the editor and the race for publication metrics (2022) 0.01
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    Date
    6. 4.2022 19:22:26
  8. Lorentzen, D.G.: Bridging polarised Twitter discussions : the interactions of the users in the middle (2021) 0.01
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    Date
    20. 1.2015 18:30:22
  9. Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023) 0.01
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    Date
    21. 3.2023 19:22:14
  10. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.01
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    Date
    20. 1.2015 18:30:22
  11. Wang, S.; Ma, Y.; Mao, J.; Bai, Y.; Liang, Z.; Li, G.: Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities : On the rise of scrape-and-report scholarship in online reviews research (2023) 0.01
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    Date
    22. 1.2023 18:37:33
  12. Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023) 0.01
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    Date
    21. 3.2023 19:22:02
  13. Asubiaro, T.V.; Onaolapo, S.: ¬A comparative study of the coverage of African journals in Web of Science, Scopus, and CrossRef (2023) 0.01
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    Date
    22. 6.2023 14:09:06
  14. Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023) 0.01
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    Date
    22. 6.2023 18:07:12
  15. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Why are coauthored academic articles more cited : higher quality or larger audience? (2023) 0.01
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    Date
    22. 6.2023 18:11:50
  16. Vakkari, P.; Järvelin, K.; Chang, Y.-W.: ¬The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995-2015 (2023) 0.01
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    Date
    22. 6.2023 18:15:06