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

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.