Search (408 results, page 1 of 21)

  • × theme_ss:"Informetrie"
  1. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.06
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    Date
    22. 5.1999 19:22:35
  2. Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018) 0.05
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    Date
    28. 7.2018 10:00:22
  3. Diodato, V.: Dictionary of bibliometrics (1994) 0.04
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
    Type
    m
  4. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.03
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    Abstract
    Um sich einer Antwort auf die Frage anzunähern, welche Bedeutung der Nachlass eines Wissenschaftlers wie jener Paul F. Lazarsfelds (mit zahlreichen noch unveröffentlichten Schriften) für die aktuelle Forschung haben könne, kann untersucht werden, wie häufig dieser Wissenschaftler zitiert wird. Wenn ein Autor zitiert wird, wird er auch genutzt. Wird er über einen langen Zeitraum oft genutzt, ist vermutlich auch die Auseinandersetzung mit seinem Nachlass von Nutzen. Außerdem kann aufgrund der Zitierungen festgestellt werden, was aus dem Lebenswerk eines Wissenschaftlers für die aktuelle Forschung relevant erscheint. Daraus können die vordringlichen Fragestellungen in der Bearbeitung des Nachlasses abgeleitet werden. Die Aufgabe für die folgende Untersuchung lautete daher: Wie oft wird Paul F. Lazarsfeld zitiert? Dabei interessierte auch: Wer zitiert wo? Die Untersuchung wurde mit Hilfe der Meta-Datenbank "ISI Web of Knowledge" durchgeführt. In dieser wurde im "Web of Science" mit dem Werkzeug "Cited Reference Search" nach dem zitierten Autor (Cited Author) "Lazarsfeld P*" gesucht. Diese Suche ergab 1535 Referenzen (References). Werden alle Referenzen gewählt, führt dies zu 4839 Ergebnissen (Results). Dabei wurden die Datenbanken SCI-Expanded, SSCI und A&HCI verwendet. Bei dieser Suche wurden die Publikationsjahre 1941-2008 analysiert. Vor 1956 wurden allerdings nur sehr wenige Zitate gefunden: 1946 fünf, ansonsten maximal drei, 1942-1944 und 1949 überhaupt keines. Zudem ist das Jahr 2008 noch lange nicht zu Ende. (Es gab jedoch schon vor Ende März 24 Zitate!)
    Date
    22. 6.2008 12:54:12
  5. Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014) 0.03
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    Date
    22. 8.2014 17:12:35
  6. Kronegger, L.; Mali, F.; Ferligoj, A.; Doreian, P.: Classifying scientific disciplines in Slovenia : a study of the evolution of collaboration structures (2015) 0.03
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    Date
    21. 1.2015 14:55:22
  7. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.02
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    Date
    4.12.2006 12:12:22
  8. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.02
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    Date
    22. 1.2017 17:12:50
    Type
    m
  9. Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023) 0.02
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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
  10. Zitt, M.; Perrot, F.; Barré, R.: ¬The transition from 'national' to 'transnational' model and related measures of countries' performance (1998) 0.02
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  11. Didegah, F.; Thelwall, M.: Determinants of research citation impact in nanoscience and nanotechnology (2013) 0.02
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  12. Koulouri, X.; Ifrim, C.; Wallace, M.; Pop, F.: Making sense of citations (2017) 0.02
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  13. Neth, M.: Citation analysis and the Web (1998) 0.02
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    Date
    10. 1.1999 16:22:37
  14. Narin, F.; Moll, J.K.: Bibliometrics (1977) 0.02
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  15. Camacho-Miñano, M.-del-Mar; Núñez-Nickel, M.: ¬The multilayered nature of reference selection (2009) 0.02
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    Date
    22. 3.2009 19:05:07
  16. ¬Die deutsche Zeitschrift für Dokumentation, Informationswissenschaft und Informationspraxis von 1950 bis 2011 : eine vorläufige Bilanz in vier Abschnitten (2012) 0.02
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    Date
    22. 7.2012 19:35:26
    Footnote
    Besteht aus 4 Teilen: Teil 1: Eden, D., A. Arndt, A. Hoffer, T. Raschke u. P. Schön: Die Nachrichten für Dokumentation in den Jahren 1950 bis 1962 (S.159-163). Teil 2: Brose, M., E. durst, D. Nitzsche, D. Veckenstedt u. R. Wein: Statistische Untersuchung der Fachzeitschrift "Nachrichten für Dokumentation" (NfD) 1963-1975 (S.164-170). Teil 3: Bösel, J., G. Ebert, P. Garz,, M. Iwanow u. B. Russ: Methoden und Ergebnisse einer statistischen Auswertung der Fachzeitschrift "Nachrichten für Dokumentation" (NfD) 1976 bis 1988 (S.171-174). Teil 4: Engelage, H., S. Jansen, R. Mertins, K. Redel u. S. Ring: Statistische Untersuchung der Fachzeitschrift "Nachrichten für Dokumentation" (NfD) / "Information. Wissenschaft & Praxis" (IWP) 1989-2011 (S.164-170).
  17. Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016) 0.02
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    Date
    22. 1.2016 14:40:53
  18. Wan, X.; Liu, F.: WL-index : leveraging citation mention number to quantify an individual's scientific impact (2014) 0.02
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    Abstract
    A number of bibliometric indices have been developed to evaluate an individual's scientific impact, and the most popular are the h-index and its variants. However, existing bibliometric indices are computed based on the number of citations received by each article, but they do not consider the frequency with which individual citations are mentioned in an article. We use "citation mention" to denote a unique occurrence of a cited reference mentioned in the citing article, and thus some citations may have more than one mention in an article. According to our analysis of the ACL Anthology Network corpus in the natural language processing field, more than 40% of cited references have been mentioned twice or in corresponding citing articles. We argue that citation mention is a preferable for representing the citation relationships between articles, that is, a reference article mentioned m times in the citing article will be considered to have received m citations, rather than one citation. Based on this assumption, we revise the h-index and propose a new bibliometric index, the WL-index, to evaluation an individual's scientific impact. According to our empirical analysis, the proposed WL-index more accurately discriminates between program committee chairs of reputable conferences and ordinary authors.
  19. Thelwall, M.: Web indicators for research evaluation : a practical guide (2016) 0.02
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    Footnote
    Rez. in: JASIST 69(2018) no.3, S.498-499 (Isidro F. Aguillo).
    Type
    m
  20. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.02
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    Abstract
    Collaboration is a major research policy objective, but does it deliver higher quality research? This study uses citation analysis to examine the Web of Science (WoS) Information Science & Library Science subject category (IS&LS) to ascertain whether, in general, more highly cited articles are more highly collaborative than other articles. It consists of two investigations. The first investigation is a longitudinal comparison of the degree and proportion of collaboration in five strata of citation; it found that collaboration in the highest four citation strata (all in the most highly cited 22%) increased in unison over time, whereas collaboration in the lowest citation strata (un-cited articles) remained low and stable. Given that over 40% of the articles were un-cited, it seems important to take into account the differences found between un-cited articles and relatively highly cited articles when investigating collaboration in IS&LS. The second investigation compares collaboration for 35 influential information scientists; it found that their more highly cited articles on average were not more highly collaborative than their less highly cited articles. In summary, although collaborative research is conducive to high citation in general, collaboration has apparently not tended to be essential to the success of current and former elite information scientists.
    Date
    22. 3.2009 12:43:51

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