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Measures of health sciences journal use: A comparison of vendor, link-Resolver, and local citation statistics

机译:衡量健康科学期刊使用情况的方法:供应商,链接解析器和本地引用统计信息的比较

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摘要

Objective: Libraries require efficient and reliable methods to assess journal use. Vendors provide complete counts of articles retrieved from their platforms. However, if a journal is available on multiple platforms, several sets of statistics must be merged. Link-resolver reports merge data from all platforms into one report but only record partial use because users can access library subscriptions from other paths. Citation data are limited to publication use. Vendor, link-resolver, and local citation data were examined to determine correlation. Because link-resolver statistics are easy to obtain, the study library especially wanted to know if they correlate highly with the other measures. Methods: Vendor, link-resolver, and local citation statistics for the study institution were gathered for health sciences journals. Spearman rank-order correlation coefficients were calculated. Results: There was a high positive correlation between all three data sets, with vendor data commonly showing the highest use. However, a small percentage of titles showed anomalous results. Discussion and Conclusions: Link-resolver data correlate well with vendor and citation data, but due to anomalies, low link-resolver data would best be used to suggest titles for further evaluation using vendor data. Citation data may not be needed as it correlates highly with other measures.
机译:目标:图书馆需要有效且可靠的方法来评估期刊的使用。供应商提供从其平台检索的文章的完整计数。但是,如果日记可以在多个平台上使用,则必须合并几组统计信息。链接解析器报告将来自所有平台的数据合并到一个报告中,但仅记录部分使用情况,因为用户可以从其他路径访问库订阅。引用数据仅限于出版物使用。检查供应商,链接解析器和本地引用数据以确定相关性。由于链接解析器的统计信息很容易获得,因此研究库特别想知道它们是否与其他度量高度相关。方法:收集研究机构的供应商,链接解析器和本地引用统计信息,以获取健康科学期刊。计算Spearman等级相关系数。结果:这三个数据集之间存在高度正相关,而供应商数据通常显示出最高的使用率。但是,一小部分标题显示了异常结果。讨论和结论:链接解析器数据与供应商和引文数据具有很好的相关性,但是由于异常,链接解析器数据较少时,最好使用供应商数据来建议标题以进行进一步评估。可能不需要引用数据,因为它与其他度量高度相关。

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