首页> 外文期刊>Journal of electronic resources librarianship >Online navigation to journal articles: How are journal articles retrieved by researchers and students at an academic institution; a quantitative examination of HTTP referer [sic] data
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Online navigation to journal articles: How are journal articles retrieved by researchers and students at an academic institution; a quantitative examination of HTTP referer [sic] data

机译:在线导航到日记文章:如何由研究人员和学生检索的期刊文章在学术机构中获取; HTTP推荐[SIC]数据的定量检查

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摘要

This quantitative case study employs weblog data supplied by six major academic journal publishers, known as HTTP referer [sic] data from Washington State University IP address ranges to reveal the sites that researchers and students use to retrieve academic journal literature. HTTP referrers to academic journal articles were categorized as follows; Search Engines (37%), Library Discovery Services (10.04%), the individual publisher itself (15.85%), free A & I services (7.90%) and absent data (termed no referrers) (25.77%). Within the category of search engines, Google and Google Scholar combined to account for almost all of the referrers. There was no evidence from the referrer data that Social Networking Sites or Courseware sites were substantial referrers. There were large variations in results between the individual publishers.
机译:这种定量案例研究采用六个主要的学术期刊出版商提供的博客数据,称为来自华盛顿州大学IP地址范围的HTTP推荐[SIC]数据,以揭示研究人员和学生用来检索学术期刊文学的网站。 学术期刊文章的HTTP推荐人分类如下; 搜索引擎(37%),图书馆发现服务(10.04%),个人出版商本身(15.85%),免费A&I服务(7.90%),缺席数据(未转介人员)(25.77%)。 在搜索引擎类别中,谷歌和谷歌学者结合了几乎所有推荐人。 来自推荐人数据没有证据表明社交网站或课件网站是实质性推荐人。 各个出版商之间的结果有很大的变化。

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