For electronic journals, total downloads can predict number of users

被引:20
作者
Davis, PM [1 ]
机构
[1] Cornell Univ, Albert R Mann Lib, Ithaca, NY 14853 USA
关键词
D O I
10.1353/pla.2004.0046
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Results from two multiple regression models involving HighWire journal subscriptions in 2003 for 16 participating universities in the United States, United Kingdom, and Sweden 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.
引用
收藏
页码:379 / 392
页数:14
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