Search (57 results, page 1 of 3)

  • × theme_ss:"Informetrie"
  • × theme_ss:"Internet"
  • × type_ss:"a"
  1. Kaminer, N.; Braunstein, Y.M.: Bibliometric analysis of the impact of Internet use on scholarly productivity (1998) 0.03
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    Language
    e
  2. Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005) 0.02
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  3. Menczer, F.: Lexical and semantic clustering by Web links (2004) 0.01
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    Language
    e
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Raan, A.F.J. van; Noyons, E.C.M.: Discovery of patterns of scientific and technological development and knowledge transfer (2002) 0.01
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    Language
    e
    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
  5. Zhang, Y.: ¬The impact of Internet-based electronic resources on formal scholarly communication in the area of library and information science : a citation analysis (1998) 0.01
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    Abstract
    Internet based electronic resources are growing dramatically but there have been no empirical studies evaluating the impact of e-sources, as a whole, on formal scholarly communication. reports results of an investigation into how much e-sources have been used in formal scholarly communication, using a case study in the area of Library and Information Science (LIS) during the period 1994 to 1996. 4 citation based indicators were used in the study of the impact measurement. Concludes that, compared with the impact of print sources, the impact of e-sources on formal scholarly communication in LIS is small, as measured by e-sources cited, and does not increase significantly by year even though there is observable growth of these impact across the years. It is found that periodical format is related to the rate of citing e-sources, articles are more likely to cite e-sources than are print priodical articles. However, once authors cite electronic resource, there is no significant difference in the number of references per article by periodical format or by year. Suggests that, at this stage, citing e-sources may depend on authors rather than the periodical format in which authors choose to publish
    Date
    30. 1.1999 17:22:22
    Language
    e
  6. Neth, M.: Citation analysis and the Web (1998) 0.01
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    Date
    10. 1.1999 16:22:37
    Language
    e
  7. Tonta, Y.: Scholarly communication and the use of networked information sources (1996) 0.01
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    Language
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    Source
    IFLA journal. 22(1996) no.3, S.240-245
  8. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
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    Date
    22. 3.2009 17:49:11
    Language
    e
  9. 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) 0.01
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  10. Bar-Ilan, J.: ¬The Web as an information source on informetrics? : A content analysis (2000) 0.01
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  11. Bar-Ilan, J.; Peritz, B.C.: Informetric theories and methods for exploring the Internet : an analytical survey of recent research literature (2002) 0.01
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  12. Yang, S.; Han, R.; Ding, J.; Song, Y.: ¬The distribution of Web citations (2012) 0.01
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  13. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.00
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    Date
    4.12.2006 12:12:22
  14. Youngen, G.K.: Citation patterns to traditional and electronic preprints in the published literature (1998) 0.00
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    Abstract
    The number of physics and astronomy preprints (manuscripts intended for publication but circulated for peer comment prior to submission) available electronically has increased dramatically over the past 5 years and Internet accessible preprint Web servers at the Stanford Accelerator Laboratory (SLAC) and the Los Alamos National Laboratoty (LANL) provide unrestricted access to citations and full text of many of these papers long before they appear in print. Includes data for periodicals ranked by number of citations to preprints and electronic preprints (e-prints). Identifies the growing importance of e-prints in the published literature and addresses areas of concern regarding their future role in scientific communication, including: inclusion of e-prints in abstracting and indexing services; connecting electronic periodicals with e-prints; guidelines for withdrawal and revision of e-prints; and maintaining the integritiy of the e-print servers
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  15. Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001) 0.00
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  16. Brody, T.; Harnad, S.; Carr, L.: Earlier Web usage statistics as predictors of later citation impact (2006) 0.00
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    Abstract
    The use of citation counts to assess the impact of research articles is well established. However, the citation impact of an article can only be measured several years after it has been published. As research articles are increasingly accessed through the Web, the number of times an article is downloaded can be instantly recorded and counted. One would expect the number of times an article is read to be related both to the number of times it is cited and to how old the article is. The authors analyze how short-term Web usage impact predicts medium-term citation impact. The physics e-print archive-arXiv.org-is used to test this.
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  17. Thelwall, M.: Webometrics (2009) 0.00
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    Footnote
    Vgl.: http://www.tandfonline.com/doi/book/10.1081/E-ELIS3.
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  18. Teplitskiy, M.; Lu, G.; Duede, E.: Amplifying the impact of open access : Wikipedia and the diffusion of science (2017) 0.00
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  19. Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004) 0.00
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  20. Amitay, E.; Carmel, D.; Herscovici, M.; Lempel, R.; Soffer, A.: Trend detection through temporal link analysis (2004) 0.00
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