Search (15 results, page 1 of 1)

  • × author_ss:"Thelwall, M."
  • × year_i:[2000 TO 2010}
  1. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01 
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    Date
    4.12.2006 12:12:22
  2. 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
  3. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.01 
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    Date
    12. 3.2001 11:34:20
    20. 1.2007 18:32:28
  4. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.01 
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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.
  5. Thelwall, M.: Web impact factors and search engine coverage (2000) 0.01 
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    Date
    10. 3.1997 20:31:13
  6. Thelwall, M.; Binns, R.; Harries, G.; Page-Kennedy, T.; Price, L.; Wilkinson, D.: Custom interfaces for advanced queries in search engines (2001) 0.01 
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    Date
    12. 3.2001 11:34:20
    20. 1.2007 19:24:48
  7. Thelwall, M.: Bibliometrics to webometrics (2009) 0.01 
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    Date
    20. 8.2009 14:17:42
  8. Vaughan, L.; Thelwall, M.: ¬A modelling approach to uncover hyperlink patterns : the case of Canadian universities (2005) 0.01 
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    Date
    26.12.2007 20:17:31
  9. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.01 
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    10. 3.1997 20:31:13
  10. Thelwall, M.: ¬A comparison of sources of links for academic Web impact factor calculations (2002) 0.01 
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    10. 3.1997 20:31:13
  11. Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009) 0.01 
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    Abstract
    Despite the rapid growth in social network sites and in data mining for emotion (sentiment analysis), little research has tied the two together, and none has had social science goals. This article examines the extent to which emotion is present in MySpace comments, using a combination of data mining and content analysis, and exploring age and gender. A random sample of 819 public comments to or from U.S. users was manually classified for strength of positive and negative emotion. Two thirds of the comments expressed positive emotion, but a minority (20%) contained negative emotion, confirming that MySpace is an extraordinarily emotion-rich environment. Females are likely to give and receive more positive comments than are males, but there is no difference for negative comments. It is thus possible that females are more successful social network site users partly because of their greater ability to textually harness positive affect.
  12. Thelwall, M.: ¬A layered approach for investigating the topological structure of communities in the Web (2003) 0.00 
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    10. 3.1997 20:31:13
  13. Thelwall, M.: Results from a web impact factor crawler (2001) 0.00 
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  14. Thelwall, M.; Li, X.; Barjak, F.; Robinson, S.: Assessing the international web connectivity of research groups (2008) 0.00 
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    Date
    12. 3.2001 11:34:20
  15. Zuccala, A.; Thelwall, M.; Oppenheim, C.; Dhiensa, R.: Web intelligence analyses of digital libraries : a case study of the National electronic Library for Health (NeLH) (2007) 0.00 
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    10. 3.1997 20:31:13

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