-
Vaughan, L.; Shaw, D.: Web citation data for impact assessment : a comparison of four science disciplines (2005)
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- Abstract
- The number and type of Web citations to journal articles in four areas of science are examined: biology, genetics, medicine, and multidisciplinary sciences. For a sample of 5,972 articles published in 114 journals, the median Web citation counts per journal article range from 6.2 in medicine to 10.4 in genetics. About 30% of Web citations in each area indicate intellectual impact (citations from articles or class readings, in contrast to citations from bibliographic services or the author's or journal's home page). Journals receiving more Web citations also have higher percentages of citations indicating intellectual impact. There is significant correlation between the number of citations reported in the databases from the Institute for Scientific Information (ISI, now Thomson Scientific) and the number of citations retrieved using the Google search engine (Web citations). The correlation is much weaker for journals published outside the United Kingdom or United States and for multidisciplinary journals. Web citation numbers are higher than ISI citation counts, suggesting that Web searches might be conducted for an earlier or a more fine-grained assessment of an article's impact. The Web-evident impact of non-UK/USA publications might provide a balance to the geographic or cultural biases observed in ISI's data, although the stability of Web citation counts is debatable.
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.10, S.1075-1087
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Vaughan, L.; Shaw , D.: Bibliographic and Web citations : what Is the difference? (2003)
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- Abstract
- Vaughn, and Shaw look at the relationship between traditional citation and Web citation (not hyperlinks but rather textual mentions of published papers). Using English language research journals in ISI's 2000 Journal Citation Report - Information and Library Science category - 1209 full length papers published in 1997 in 46 journals were identified. Each was searched in Social Science Citation Index and on the Web using Google phrase search by entering the title in quotation marks, and followed for distinction where necessary with sub-titles, author's names, and journal title words. After removing obvious false drops, the number of web sites was recorded for comparison with the SSCI counts. A second sample from 1992 was also collected for examination. There were a total of 16,371 web citations to the selected papers. The top and bottom ranked four journals were then examined and every third citation to every third paper was selected and classified as to source type, domain, and country of origin. Web counts are much higher than ISI citation counts. Of the 46 journals from 1997, 26 demonstrated a significant correlation between Web and traditional citation counts, and 11 of the 15 in the 1992 sample also showed significant correlation. Journal impact factor in 1998 and 1999 correlated significantly with average Web citations per journal in the 1997 data, but at a low level. Thirty percent of web citations come from other papers posted on the web, and 30percent from listings of web based bibliographic services, while twelve percent come from class reading lists. High web citation journals often have web accessible tables of content.
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.14, S.1313-1324
-
Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
-
Vaughan, L.: Statistical methods for the information professional : a practical, painless approach to understanding, using, and interpreting statistics (2001)
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- Pages
- XXI, 209 S
-
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
-
Vaughan, L.: New measurements for search engine evaluation proposed and tested (2004)
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- Source
- Information processing and management. 40(2004) no.4, S.677-691
-
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
-
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
-
Vaughan, L.: Visualizing linguistic and cultural differences using Web co-link data (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1178-1193
-
Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004)
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- Source
- Aslib proceedings. 56(2004) no.1, S.24-33
-
Romero-Frías, E.; Vaughan, L.: Exploring the relationships between media and political parties through web hyperlink analysis : the case of Spain (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.967-976
-
Vaughan, L.; Romero-Frías, E.: Web search volume as a predictor of academic fame : an exploration of Google trends (2014)
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- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.707-720
-
Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.1, S.29-38
-
Vaughan, L.; Hahn, T.B.: Profile, needs, and expectations of information professionals : what we learned from the 2003 ASIST membership survey (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.95-105
-
Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004)
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- Source
- Annual review of information science and technology. 39(2005), S.81-138
-
Leydesdorff, L.; Vaughan, L.: Co-occurrence matrices and their applications in information science : extending ACA to the Web environment (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.12, S.1616-1628
-
Romero-Frías, E.; Vaughan, L.: European political trends viewed through patterns of Web linking (2010)
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- Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2109-2121
-
Vaughan, L.; Yang, R.: Web data as academic and business quality estimates : a comparison of three data sources (2012)
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- Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.1960-1972
-
Vaughan, L.: Uncovering information from social media hyperlinks (2016)
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- Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1105-1120
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Ninkov, A.; Vaughan, L.: ¬A webometric analysis of the online vaccination debate (2017)
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- Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1285-1294
