Search (28 results, page 1 of 2)

  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. Herb, U.; Geith, U.: Kriterien der qualitativen Bewertung wissenschaftlicher Publikationen : Befunde aus dem Projekt visOA (2020) 0.01 
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    Abstract
    Dieser Beitrag beschreibt a) die Ergebnisse einer Literaturstudie zur qualitativen Wahrnehmung wissenschaftlicher Publikationen, b) die Konstruktion eines daraus abgeleiteten Kriterienkatalogs zur Wahrnehmung der Qualität wissenschaftlicher Publikationen sowie c) der Überprüfung dieses Katalogs in qualitativen Interviews mit Wissenschaflterinnen und Wissenschaftlern aus dem Fachspektrum Chemie, Physik, Biologie, Materialwissenschaft und Engineering. Es zeigte sich, dass die Wahrnehmung von Qualität auf äußerlichen und von außen herangetragenen Faktoren, inhaltlichen / semantischen Faktoren und sprachlichen, syntaktischen sowie strukturellen Faktoren beruht.
    Source
    Information - Wissenschaft und Praxis. 71(2020) H.2/3, S.77-85
  2. 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
    Field
    Medizin
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.4, S.402-414
  3. Reichmann, G.; Schlögl, C.: Möglichkeiten zur Steuerung der Ergebnisse einer Forschungsevaluation (2021) 0.01 
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    Abstract
    Ein Leistungsvergleich zwischen den (ehemaligen) Instituten für Informationswissenschaft der Universitäten Düsseldorf und Graz auf Basis der Forschungsleistung für einen Zeitraum von zehn Jahren zeigt, wie sehr die Ergebnisse einer Forschungsevaluation gesteuert werden können. Durch die Wahl "geeigneter" Indikatoren gelingt es - je nach Wunsch - entweder das eine oder das andere Institut an die erste Stelle zu bringen. Hält man sich dagegen an das wissenschaftliche Gebot der Unparteilichkeit, führt dies im hier gezeigten Anwendungsbeispiel zu gemischten Ergebnissen.
    Source
    Information - Wissenschaft und Praxis. 72(2021) H.4, S.212-220
  4. Tausch, A.: Zitierungen sind nicht alles : Classroom Citation, Libcitation und die Zukunft bibliometrischer und szientometrischer Leistungsvergleiche (2022) 0.01 
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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.
    Die multivariaten Rankings, die auf den mit den Eigenwerten gewichteten Factorscores beruhen, zeigen in der Tabelle 6, welche 15 österreichischen Politikwissenschaftler*innen sich auf den Weltmärkten der Wissenschaften am besten bewährten. Außerdem zeigen diese Methoden in Tabelle 10 auch, dass die im Beitrag analysierten führenden akademischen Verlage der Welt insbesondere für Wissenschaftler*innen der jüngeren Generation gute Weggefährten sein werden, um in Zeiten institutioneller und finanzieller Unsicherheit die Ergebnisse der Wissenschaft verlässlich um den Globus zu verbreiten und die akademischen Karrieren zu befördern.
  5. Dederke, J.; Hirschmann, B.; Johann, D.: ¬Der Data Citation Index von Clarivate : Eine wertvolle Ressource für die Forschung und für Bibliotheken? (2022) 0.01 
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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.
  6. Dorsch, I.; Haustein, S.: Bibliometrie (2023) 0.01 
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    Abstract
    Die Bibliometrie ist eine sozialwissenschaftliche Disziplin, die historisch gesehen auf drei Entwicklungen fußt: die positivistisch-funktionalistische Philosophie, soziale Fakten objektiv untersuchen zu können; die Entwicklung von Zitationsindizes und -analyse, um Forschungsleistung zu messen; und die Entdeckung mathematischer Gesetzmäßigkeiten, die die Anwendung von Indikatoren in der Wissenschaftsevaluation ermöglichten.
    Source
    Grundlagen der Informationswissenschaft. Hrsg.: Rainer Kuhlen, Dirk Lewandowski, Wolfgang Semar und Christa Womser-Hacker. 7., völlig neu gefasste Ausg
  7. 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) 0.00 
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    Date
    22. 1.2023 18:37:33
    Field
    Medizin
  8. Positionspapier der DMV zur Verwendung bibliometrischer Daten (2020) 0.00 
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    Abstract
    Bibliometrische Daten werden heute zunehmend in der Evaluation von Forschungsergebnissen benutzt. Diese Anwendungen reichen von der (indirekten) Verwendung bei der Peer-Evaluation von Drittmittelanträgen über die Beurteilung von Bewerbungen in Berufungskommissionen oder Anträgen für Forschungszulagen bis hin zur systematischen Erhebung von forschungsorientierten Kennzahlen von Institutionen. Mit diesem Dokument will die DMV ihren Mitgliedern eine Diskussionsgrundlage zur Verwendung bibliometrischer Daten im Zusammenhang mit der Evaluation von Personen und Institutionen im Fachgebiet Mathematik zur Verfügung stellen, insbesondere auch im Vergleich zu anderen Fächern. Am Ende des Texts befindet sich ein Glossar, in dem die wichtigsten Begriffe kurz erläutert werden.
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2019, H.3-4, S.112-117
  9. Wu, C.; Yan, E.; Zhu, Y.; Li, K.: Gender imbalance in the productivity of funded projects : a study of the outputs of National Institutes of Health R01 grants (2021) 0.00 
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  10. Kudlow, P.; Dziadyk, D.B.; Rutledge, A.; Shachak, A.; Eysenbach, G.: ¬The citation advantage of promoted articles in a cross-publisher distribution platform : a 12-month randomized controlled trial (2020) 0.00 
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  11. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.00 
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    Abstract
    Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.
    Date
    20. 1.2015 18:30:22
  12. Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022) 0.00 
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    Abstract
    Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources required to address the global challenge, which might facilitate the generation of novel ideas. Our analysis of 98,981 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pretrained on 29 million PubMed articles, and first-time collaboration increased after the outbreak of COVID-19, and international collaboration witnessed a sudden decrease. During COVID-19, papers with more first-time collaboration were found to be more novel and international collaboration did not hamper novelty as it had done in the normal periods. The findings suggest the necessity of reaching out for distant resources and the importance of maintaining a collaborative scientific community beyond nationalism during a pandemic.
  13. Jiao, H.; Qiu, Y.; Ma, X.; Yang, B.: Dissmination effect of data papers on scientific datasets (2024) 0.00 
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    Date
    7. 1.2024 18:24:29
  14. Milard, B.; Pitarch, Y.: Egocentric cocitation networks and scientific papers destinies (2023) 0.00 
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    Date
    21. 3.2023 19:22:14
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.4, S.415-433
  15. Liu, X.; Chen, X.: Authors' noninstitutional emails and their correlation with retraction (2021) 0.00 
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    Journal of the Association for Information Science and Technology. 72(2021) no.4, S.449-4473-477
  16. Manley, S.: Letters to the editor and the race for publication metrics (2022) 0.00 
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    Date
    6. 4.2022 19:22:26
  17. Lorentzen, D.G.: Bridging polarised Twitter discussions : the interactions of the users in the middle (2021) 0.00 
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    Date
    20. 1.2015 18:30:22
  18. Asubiaro, T.V.; Onaolapo, S.: ¬A comparative study of the coverage of African journals in Web of Science, Scopus, and CrossRef (2023) 0.00 
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    22. 6.2023 14:09:06
  19. Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023) 0.00 
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    22. 6.2023 18:07:12
  20. 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) 0.00 
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    Date
    22. 6.2023 18:11:50

Authors

Languages

  • e 22
  • d 6