Search (58 results, page 1 of 3)

  • × year_i:[2000 TO 2010}
  • × theme_ss:"Informetrie"
  1. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.03 
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    Abstract
    Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
  2. Shibata, N.; Kajikawa, Y.; Takeda, Y.; Matsushima, K.: Comparative study on methods of detecting research fronts using different types of citation (2009) 0.03 
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    Date
    22. 3.2009 17:52:50
  3. Nicolaisen, J.: Citation analysis (2007) 0.02 
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    Date
    13. 7.2008 19:53:22
  4. 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
  5. 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
  6. Järvelin, K.; Persson, O.: ¬The DCI-index : discounted cumulated impact-based research evaluation (2008) 0.02 
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    Abstract
    The article by K. Järvelin & O. Persson published in JASIST 59(9), The DCI-Index: Discounted Cumulated Impact-Based Research Evaluation, (pp. 1433-1440) contains an unfortunate error in one of its formulas, Equation 3. The present paper gives the correction and an example of impact analysis based on the corrected formula.
  7. Newby, G.B.; Greenberg, J.; Jones, P.: Open source software development and Lotka's law : bibliometric patterns in programming (2003) 0.01 
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    Abstract
    Newby, Greenberg, and Jones analyze programming productivity of open source software by counting registered developers contributions found in the Linux Software Map and in Scourceforge. Using seven years of data from a subset of the Linux directory tree LSM data provided 4503 files with 3341 unique author names. The distribution follows Lotka's Law with an exponent of 2.82 as verified by the Kolmolgorov-Smirnov one sample goodness of fit test. Scourceforge data is broken into developers and administrators, but when both were used as authors the Lotka distribution exponent of 2.55 produces the lowest error. This would not be significant by the K-S test but the 3.54% maximum error would indicate a fit and calls into question the appropriateness of K-S for large populations of authors.
  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. Yoshikane, F.; Kageura, K.; Tsuji, K.: ¬A method for the comparative analysis of concentration of author productivity, giving consideration to the effect of sample size dependency of statistical measures (2003) 0.01 
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  13. Järvelin, K.; Persson, O.: ¬The DCI index : discounted cumulated impact-based research evaluation (2008) 0.01 
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    Content
    Erratum in: Järvelin, K., O. Persson: The DCI-index: discounted cumulated impact-based research evaluation. Erratum re. In: Journal of the American Society for Information Science and Technology. 59(2008) no.14, S.2350-2352.
  14. Grazia Colonia; Dimmler, E.; Dresel, R.; Messner, C.; Krobath, A.; Petz, S.; Sypien, M.; Boxen, P. van; Harders, M.; Heuer, D.; Jordans, I.; Juchem, K.; Linnertz, M.; Mittelhuber, I.; Schwammel, S.; Schlögl, C.; Stock, W.G.: Informationswissenschaftliche Zeitschriften in szientometrischer Analyse (2002) 0.01 
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  15. Juchem, K.: ¬Der Bibliotheksdienst in szientometrischer Analyse (2002) 0.01 
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  16. Cronin, B.; Shaw, D.; LaBarre, K.: ¬A cast of thousands : Coauthorship and subauthorship collaboration in the 20th century as manifested in the scholarly journal literature of psychology and philosophy (2003) 0.01 
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  17. Cronin, B.; Shaw, D.; LaBarre, K.: Visible, Less Visible, and Invisible Work : Patterns of Collaboration in 20th Century Chemistry (2004) 0.01 
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  18. 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
  19. Burrell, Q.L.: Predicting future citation behavior (2003) 0.01 
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    Date
    29. 3.2003 19:22:48
  20. Boyack; K.W.; Börner, K.: Indicator-assisted evaluation and funding of research : visualizing the influence of grants on the number and citation counts of research papers (2003) 0.01 
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