Search (56 results, page 3 of 3)

  • × theme_ss:"Informetrie"
  • × theme_ss:"Internet"
  1. Bar-Ilan, J.; Peritz, B.C.: Evolution, continuity, and disappearance of documents on a specific topic an the Web : a longitudinal study of "informetrics" (2004) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.11, S.980-990
  2. Cothey, V.: Web-crawling reliability (2004) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1228-1238
  3. Brody, T.; Harnad, S.; Carr, L.: Earlier Web usage statistics as predictors of later citation impact (2006) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.1060-1072
  4. Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005) 0.00
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    Source
    Information processing and management. 41(2005) no.6, S.1495-1510
  5. Böhm, P.; Rittberger, M.: Einsatz von Webanalyse in überregionalen Informationsinfrastruktureinrichtungen (2016) 0.00
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    Source
    Information - Wissenschaft und Praxis. 67(2016) H.4, S.241-251
  6. Davis, P.M.; Cohen, S.A.: ¬The effect of the Web on undergraduate citation behavior 1996-1999 (2001) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.4, S.309-314
  7. Koehler, W.: Web page change and persistence : a four-year longitudinal study (2002) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.2, S.162-171
  8. Thelwall, M.: ¬A comparison of sources of links for academic Web impact factor calculations (2002) 0.00
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    Abstract
    There has been much recent interest in extracting information from collections of Web links. One tool that has been used is Ingwersen's Web impact factor. It has been demonstrated that several versions of this metric can produce results that correlate with research ratings of British universities showing that, despite being a measure of a purely Internet phenomenon, the results are susceptible to a wider interpretation. This paper addresses the question of which is the best possible domain to count backlinks from, if research is the focus of interest. WIFs for British universities calculated from several different source domains are compared, primarily the .edu, .ac.uk and .uk domains, and the entire Web. The results show that all four areas produce WIFs that correlate strongly with research ratings, but that none produce incontestably superior figures. It was also found that the WIF was less able to differentiate in more homogeneous subsets of universities, although positive results are still possible.
  9. Thelwall, M.: Interpreting social science link analysis research : a theoretical framework (2006) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.60-68
  10. Hong, T.: ¬The influence of structural and message features an Web site credibility (2006) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.114-127
  11. Simkin, M.V.; Roychowdhury, V.P.: Why does attention to web articles fall with Time? (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1847-1856
  12. Yang, S.; Han, R.; Ding, J.; Song, Y.: ¬The distribution of Web citations (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.4, S.779-790
  13. Sugimoto, C.R.; Work, S.; Larivière, V.; Haustein, S.: Scholarly use of social media and altmetrics : A review of the literature (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2037-2062
  14. Thelwall, M.: Conceptualizing documentation on the Web : an evaluation of different heuristic-based models for counting links between university Web sites (2002) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.12, S.995-1005
  15. Zhang, L.; Gou, Z.; Fang, Z.; Sivertsen, G.; Huang, Y.: Who tweets scientific publications? : a large-scale study of tweeting audiences in all areas of research (2023) 0.00
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    Journal of the Association for Information Science and Technology. 74(2023) no.13, S.1485-1497
  16. Hassler, M.: Web analytics : Metriken auswerten, Besucherverhalten verstehen, Website optimieren ; [Metriken analysieren und interpretieren ; Besucherverhalten verstehen und auswerten ; Website-Ziele definieren, Webauftritt optimieren und den Erfolg steigern] (2009) 0.00
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    85.20 / Betriebliche Information und Kommunikation
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    85.20 / Betriebliche Information und Kommunikation

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