Search (73 results, page 1 of 4)

  • × theme_ss:"Informetrie"
  • × year_i:[2000 TO 2010}
  1. Mukherjee, B.: Do open-access journals in library and information science have any scholarly impact? : a bibliometric study of selected open-access journals using Google Scholar (2009) 0.03
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    Abstract
    Using 17 fully open-access journals published uninterruptedly during 2000 to 2004 in the field of library and information science, the present study investigates the impact of these open-access journals in terms of quantity of articles published, subject distribution of the articles, synchronous and diachronous impact factor, immediacy index, and journals' and authors' self-citation. The results indicate that during this 5-year publication period, there are as many as 1,636 articles published by these journals. At the same time, the articles have received a total of 8,591 Web citations during a 7-year citation period. Eight of 17 journals have received more than 100 citations. First Monday received the highest number of citations; however, the average number of citations per article was the highest in D-Lib Magazine. The value of the synchronous impact factor varies from 0.6989 to 1.0014 during 2002 to 2005, and the diachronous impact factor varies from 1.472 to 2.487 during 2000 to 2004. The range of the immediacy index varies between 0.0714 and 1.395. D-Lib Magazine has an immediacy index value above 0.5 in all the years whereas the immediacy index value varies from year to year for the other journals. When the citations of sample articles were analyzed according to source, it was found that 40.32% of the citations came from full-text articles, followed by 33.35% from journal articles. The percentage of journals' self-citation was only 6.04%.
    Date
    22. 3.2009 17:54:59
  2. Nicolaisen, J.: Citation analysis (2007) 0.02
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    Date
    13. 7.2008 19:53:22
  3. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.02
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    Date
    22. 7.2006 15:22:28
  4. Hauffe, H.: ¬The role of citation analysis in the history and evaluation of science : Bericht über einen Vortrag von Eugene Garfield (Wien, 26. Mai 2004) (2004) 0.02
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    Date
    7. 8.2004 10:35:59
    Source
    Online Mitteilungen. 2004, Nr.79, S.7-9 [=Mitteilungen VÖB 57(2004) H.2]
  5. Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001) 0.02
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    Source
    Journal of information science. 27(2001) no.1, S.1-7
  6. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.02
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    Date
    20. 1.2007 17:02:22
  7. Wolfram, D.: Applied informetrics for information retrieval research (2003) 0.02
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    Isbn
    0-313-31970-7
  8. Raan, A.F.J. van: Statistical properties of bibliometric indicators : research group indicator distributions and correlations (2006) 0.01
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    Date
    22. 7.2006 16:20:22
  9. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.01
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    Date
    22. 3.2009 19:22:35
  10. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01
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    Date
    4.12.2006 12:12:22
  11. Rostaing, H.; Barts, N.; Léveillé, V.: Bibliometrics: representation instrument of the multidisciplinary positioning of a scientific area : Implementation for an Advisory Scientific Committee (2007) 0.01
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    Date
    30.12.2007 11:22:39
  12. Egghe, L.: Dynamic h-index : the Hirsch index in function of time (2007) 0.01
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    Date
    7. 3.2007 19:04:10
  13. Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009) 0.01
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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
  14. Burrell, Q.L.: Predicting future citation behavior (2003) 0.01
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    Date
    29. 3.2003 19:22:48
  15. Schlögl, C.: Informationskompetenz am Beispiel einer szientometrischen Untersuchung zum Informationsmanagement (2000) 0.01
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    Source
    Informationskompetenz - Basiskompetenz in der Informationsgesellschaft: Proceedings des 7. Internationalen Symposiums für Informationswissenschaft (ISI 2000), Hrsg.: G. Knorz u. R. Kuhlen
  16. Ohly, H.P.: State-of-the-art reports : a bibliometric point of view (2000) 0.01
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    Series
    Advances in knowledge organization; vol.7
  17. Huber, J.C.: ¬A new model that generated Lotka's law (2002) 0.01
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    Abstract
    In this paper, we develop a new model for a process that generates Lotka's Law. We show that four relatively mild assumptions create a process that fits five different informetric distributions: rate of production, career duration, randomness, and Poisson distribution over time, as well as Lotka's Law. By simulation, we obtain good fits to three empirical samples that exhibit the extreme range of the observed parameters. The overall error is 7% or less. An advantage of this model is that the parameters can be linked to observable human factors. That is, the model is not merely descriptive, but also provides insight into the causes of differences between samples. Furthermore, the differences can be tested with powerful statistical tools
  18. Park, H.W.; Barnett, G.A.; Nam, I.-Y.: Hyperlink - affiliation network structure of top Web sites : examining affiliates with hyperlink in Korea (2002) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.7, S.592-601
  19. Leydesdorff, L.: Similarity measures, author cocitation Analysis, and information theory (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.769-772
  20. Ball, R.: Wissenschaftskommunikation im Wandel : die Verwendung von Fragezeichen im Titel von wissenschaftlichen Zeitschriftenbeiträgen in der Medizin, den Lebenswissenschaften und in der Physik von 1966 bis 2005 (2007) 0.01
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    Source
    Information - Wissenschaft und Praxis. 58(2007) H.6/7, S.371-375

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