Visualizing a field of research: A methodology of systematic scientometric reviews
Visualizing a field of research: A methodology of systematic scientometric reviews
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DOI：
10.1371/journal.pone.0223994
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发表时间：
2019-10-31
期刊：
影响因子：
3.7
通讯作者：
Song, Min
中科院分区：
文献类型：
--
作者：
Chen, Chaomei;Song, Min
系统的科学计量学审查，在计算和视觉分析方法的支持下，提供了改善研究领域文献研究的及时性、可及性和重现性的机会。另一方面，有效和充分地确定最具代表性的学术出版物作为后续分析的基础，仍然是当前做法中的一个共同瓶颈。我们能做些什么来降低遗漏潜在重大事件的风险？我们如何比较不同的搜索策略在覆盖的主题领域的相关性和特殊性方面？在这项研究中，我们介绍了一种灵活和通用的方法，基于引文索引的总体概念框架的重大扩展，以描述一个研究领域的文献。这种方法通过级联引文扩展，在本地和全球的科学研究之间提供了一种实用的联系。我们展示了该方法论在基于文献的发现(LBD)研究中的应用，并比较了基于三个使用场景和相应检索策略构建的五个数据集，即基于查询的词汇搜索(一个数据集)、从LBD的一篇开创性文章开始的向前扩展(两个数据集)和从一位著名的LBD专家最近发表的评论文章开始的向后扩展(两个数据集)。参照基于查询的科学计量学可视化，我们特别讨论了扩展过程捕获的区域的相关性。本研究中使用的比较文献计量学数据集的方法适用于搜索策略的比较研究。
Systematic scientometric reviews, empowered by computational and visual analytic approaches, offer opportunities to improve the timeliness, accessibility, and reproducibility of studies of the literature of a field of research. On the other hand, effectively and adequately identifying the most representative body of scholarly publications as the basis of subsequent analyses remains a common bottleneck in the current practice. What can we do to reduce the risk of missing something potentially significant? How can we compare different search strategies in terms of the relevance and specificity of topical areas covered? In this study, we introduce a flexible and generic methodology based on a significant extension of the general conceptual framework of citation indexing for delineating the literature of a research field. The method, through cascading citation expansion, provides a practical connection between studies of science from local and global perspectives. We demonstrate an application of the methodology to the research of literature-based discovery (LBD) and compare five datasets constructed based on three use scenarios and corresponding retrieval strategies, namely a query-based lexical search (one dataset), forward expansions starting from a groundbreaking article of LBD (two datasets), and backward expansions starting from a recently published review article by a prominent expert in LBD (two datasets). We particularly discuss the relevance of areas captured by expansion processes with reference to the query-based scientometric visualization. The method used in this study for comparing bibliometric datasets is applicable to comparative studies of search strategies.