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Web Logs as Indices of Electronic Journal Use: Tools for Identifying a “Classic” Article

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Veröffentlicht/Copyright: 10. Dezember 2007
Libri
Aus der Zeitschrift Band 52 Heft 4

Because of the importance to the academic community of shared research through publication, information specialists have developed mechanisms to identify important articles. One accepted method is citation analysis, where the use of an author's work is tracked by counting subsequent citations to that work. The development of Web-based scholarly journals offers new tools, such as server logs, for tracking an article's use and distribution. This paper explores the potential of server logs as sources of information to reveal distribution levels of individual articles. A new model is proposed for designating a work of significant scholarly impact, the “classic” article.


Kate Marek is Assistant Professor, Graduate School of Library and Information Science, Dominican University, River Forest, IL, USA. E-mail:
Edward J. Valauskas is Chief Editor, First Monday, Post Office Box 87636, Chicago IL 60680 USA, E-mail:

Received: 2002-07-24
Received: 2002-09-03
Accepted: 2002-09-05
Published Online: 2007-12-10
Published in Print: 2002-December

© 2002 by K. G. Saur Verlag GmbH, Federal Republic of Germany

Heruntergeladen am 23.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/LIBR.2002.220/html?lang=de
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