从网上参考咨询管理系统看共同读者模式
Visualization of Co-Readership Patterns from an Online Reference Management System
摘要：
在本文中，我们分析了充分性和适用性的读者统计数据记录在社会参考管理系统创建知识领域的可视化。首先，我们调查的主题领域的分布在用户图书馆的教育技术研究人员在Mendeley。结果表明，平均用户图书馆中约69%的出版物可以归因于单一学科领域。然后，我们使用共同读者模式来映射教育技术领域。由此产生的可视化原型，在这一领域的Mendeley阅读最多的出版物的基础上，揭示了教育技术研究的13个主题领域。可视化是该领域的最新代表：80%的出版物是在数据汇集的十年内出版的。然而，读者的特征会给可视化带来某些偏差。因此，基于读者统计数据的知识领域可视化是多方面和及时的，但重要的是，底层样本的特征是透明的。
英文摘要：
In this paper, we analyze the adequacy and applicability of readership statistics recorded in social reference management systems for creating knowledge domain visualizations. First, we investigate the distribution of subject areas in user libraries of educational technology researchers on Mendeley. The results show that around 69% of the publications in an average user library can be attributed to a single subject area. Then, we use co-readership patterns to map the field of educational technology. The resulting visualization prototype, based on the most read publications in this field on Mendeley, reveals 13 topic areas of educational technology research. The visualization is a recent representation of the field: 80% of the publications included were published within ten years of data collection. The characteristics of the readers, however, introduce certain biases to the visualization. Knowledge domain visualizations based on readership statistics are therefore multifaceted and timely, but it is important that the characteristics of the underlying sample are made transparent.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
