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For electronic journals, total downloads can predict number of users

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Abstract

Results from two multiple regression models involving HighWire journal subscriptions for 16 participating universities in the United States, United Kingdom and Sweden for 2003 indicate a highly predictive relationship between the number of article downloads and the number of users, meaning that the size of a user population can be estimated by just knowing the total use of a journal. The relationship is consistent over time and across institutions, and appears to be unrelated to the subject, size or popularity of a journal. It is not consistent across publishers, however, suggesting that an 'interface effect' may exist. The development of a Project COUNTER standard to deal with extreme or abnormal journal usage is necessary if we wish to compare the performance of journals across publishers.

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2004-07

Publisher

Johns Hopkins

Keywords

interface effect; e-journals; journal publishing; usage analysis

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Previously Published As

Portal, (4):3, 2004, p. 379-392.

Government Document

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article

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