Search (22 results, page 1 of 2)

  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. 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
  2. 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
  3. 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
  4. 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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    Abstract
    During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta-research to help understand science communication in crises and improve its effectiveness. The objective is to study how many Spanish scientific papers on COVID-19 published during 2020 share their research data. Qualitative and descriptive study applying nine attributes: (a) availability, (b) accessibility, (c) format, (d) licensing, (e) linkage, (f) funding, (g) editorial policy, (h) content, and (i) statistics. We analyzed 1,340 papers, 1,173 (87.5%) did not have research data. A total of 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data, and 5.2% share their data as supplementary material. There is a small percentage that shares their research data; however, it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data.
    Date
    21. 3.2023 19:22:02
  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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  6. 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) 0.01
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    Abstract
    There is currently a paucity of evidence-based strategies that have been shown to increase citations of peer-reviewed articles following their publication. We conducted a 12-month randomized controlled trial to examine whether the promotion of article links in an online cross-publisher distribution platform (TrendMD) affects citations. In all, 3,200 articles published in 64 peer-reviewed journals across eight subject areas were block randomized at the subject level to either the TrendMD group (n = 1,600) or the control group (n = 1,600) of the study. Our primary outcome compares the mean citations of articles randomized to TrendMD versus control after 12 months. Articles randomized to TrendMD showed a 50% increase in mean citations relative to control at 12 months. The difference in mean citations at 12 months for articles randomized to TrendMD versus control was 5.06, 95% confidence interval [2.87, 7.25], was statistically significant (p?<?.001) and found in three of eight subject areas. At 6 months following publication, articles randomized to TrendMD showed a smaller, yet statistically significant (p = .005), 21% increase in mean citations, relative to control. To our knowledge, this is the first randomized controlled trial to demonstrate how an intervention can be used to increase citations of peer-reviewed articles after they have been published.
  7. Herb, U.; Geith, U.: Kriterien der qualitativen Bewertung wissenschaftlicher Publikationen : Befunde aus dem Projekt visOA (2020) 0.00
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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.
  8. Williams, B.: Dimensions & VOSViewer bibliometrics in the reference interview (2020) 0.00
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  9. Bu, Y.; Li, M.; Gu, W.; Huang, W.-b.: Topic diversity : a discipline scheme-free diversity measurement for journals (2021) 0.00
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  10. 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
  11. 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
  12. Thelwall, M.; Sud, P.: Do new research issues attract more citations? : a comparison between 25 Scopus subject categories (2021) 0.00
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  13. Fang, Z.; Costas, R.; Tian, W.; Wang, X.; Wouters, P.: How is science clicked on Twitter? : click metrics for Bitly short links to scientific publications (2021) 0.00
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  14. Zhu, Y.; Quan, L.; Chen, P.-Y.; Kim, M.C.; Che, C.: Predicting coauthorship using bibliographic network embedding (2023) 0.00
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  15. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Do altmetric scores reflect article quality? : evidence from the UK Research Excellence Framework 2021 (2023) 0.00
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  16. Järvelin, K.; Vakkari, P.: LIS research across 50 years: content analysis of journal articles : offering an information-centric conception of memes (2022) 0.00
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  17. Thelwall, M.; Kousha, K.; Stuart, E.; Makita, M.; Abdoli, M.; Wilson, P.; Levitt, J.: In which fields are citations indicators of research quality? (2023) 0.00
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  18. Jiao, H.; Qiu, Y.; Ma, X.; Yang, B.: Dissmination effect of data papers on scientific datasets (2024) 0.00
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  19. 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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    Date
    20. 1.2015 18:30:22
  20. 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