-
Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006)
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- Date
- 4.12.2006 12:12:22
- Source
- Information - Wissenschaft und Praxis. 57(2006) H.8, S.401-406
-
Levitt, J.M.; Thelwall, M.: Citation levels and collaboration within library and information science (2009)
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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
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.434-442
-
Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007)
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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.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1631-1644
-
Harries, G.; Wilkinson, D.; Price, L.; Fairclough, R.; Thelwall, M.: Hyperlinks as a data source for science mapping : making sense of it all (2005)
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- Source
- Journal of information science. 30(2005) no.5, S.436-
-
Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.190-199
-
Thelwall, M.; Vaughan, L.: Webometrics : an introduction to the special issue (2004)
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- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1213-1215
-
Thelwall, M.: Web impact factors and search engine coverage (2000)
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- Source
- Journal of documentation. 56(2000) no.2, S.185-189
-
Thelwall, M.; Li, X.; Barjak, F.; Robinson, S.: Assessing the international web connectivity of research groups (2008)
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- Source
- Aslib proceedings. 60(2008) no.1, S.18-31
-
Thelwall, M.: Quantitative comparisons of search engine results (2008)
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- Abstract
- Search engines are normally used to find information or Web sites, but Webometric investigations use them for quantitative data such as the number of pages matching a query and the international spread of those pages. For this type of application, the accuracy of the hit count estimates and range of URLs in the full results are important. Here, we compare the applications programming interfaces of Google, Yahoo!, and Live Search for 1,587 single word searches. The hit count estimates were broadly consistent but with Yahoo! and Google, reporting 5-6 times more hits than Live Search. Yahoo! tended to return slightly more matching URLs than Google, with Live Search returning significantly fewer. Yahoo!'s result URLs included a significantly wider range of domains and sites than the other two, and there was little consistency between the three engines in the number of different domains. In contrast, the three engines were reasonably consistent in the number of different top-level domains represented in the result URLs, although Yahoo! tended to return the most. In conclusion, quantitative results from the three search engines are mostly consistent but with unexpected types of inconsistency that users should be aware of. Google is recommended for hit count estimates but Yahoo! is recommended for all other Webometric purposes.
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1702-1710
-
Thelwall, M.; Harries, G.: ¬The connection between the research of a university and counts of links to its Web pages : an investigation based upon a classification of the relationships of pages to the research of the host university (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.7, S.594-602
-
Price, L.; Thelwall, M.: ¬The clustering power of low frequency words in academic webs (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.8, S.883-888
-
Thelwall, M.: Bibliometrics to webometrics (2009)
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- Pages
- S.347-376
-
Thelwall, M.; Stuart, D.: Web crawling ethics revisited : cost, privacy, and denial of service (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.13, S.1771-1779
-
Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005)
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- Pages
- S.159-166
-
Vaughan, L.; Thelwall, M.: ¬A modelling approach to uncover hyperlink patterns : the case of Canadian universities (2005)
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- Source
- Information processing and management. 41(2005) no.2, S.347-360
-
Payne, N.; Thelwall, M.: Mathematical models for academic webs : linear relationship or non-linear power law? (2005)
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- Information processing and management. 41(2005) no.6, S.1495-1510
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Thelwall, M.; Wouters, P.; Fry, J.: Information-centered research for large-scale analyses of new information sources (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1523-1527
-
Thelwall, M.; Wilkinson, D.: Graph structure in three national academic Webs : power laws with anomalies (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.8, S.706-712
-
Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004)
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- Information processing and management. 40(2004) no.4, S.693-708
-
Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004)
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- Information processing and management. 40(2004) no.3, S.515-526
