新型数据的涌现一直是推动信息计量学前行的重要动力,Web of Science(Wo S)给出的学术文献用量级数据Usage可望在影响力维度、学科差异、行为动机三个理论方面为引文分析提供补充视角。本研究以2013年物理学、计算机、经济学和图书情报...新型数据的涌现一直是推动信息计量学前行的重要动力,Web of Science(Wo S)给出的学术文献用量级数据Usage可望在影响力维度、学科差异、行为动机三个理论方面为引文分析提供补充视角。本研究以2013年物理学、计算机、经济学和图书情报学被SCI和SSCI收录的166 767篇论文为研究样本,探索性地研究了该Usage数据的测度特征。结果显示,相较于引文数据,Usage更具测评区分度与敏感性;其在高频局部呈现出近似正偏态分布,于累积整体涌现出近似幂律分布;Usage的测评结果具有独立性,且与引文结果没有本质对立。虽然Wo S平台的Usage仍有笼统性、可伪性和封闭性之局限,但仍不失为配合引文数据、提供丰富影响力测评视域的可能选择之一。图4。表6。参考文献23。展开更多
The emergence of new data has always been a major force driving the advance of informetrics. The magnitude of data usage for academic literature, given by the Web of Science(Wo S), can be expected to provide a supplem...The emergence of new data has always been a major force driving the advance of informetrics. The magnitude of data usage for academic literature, given by the Web of Science(Wo S), can be expected to provide a supplementary perspective for citation analysis in three theoretical aspects, which are influence dimension, discipline difference and behavioral motive. Based on 166,767 articles in physics, computer science, economics, and Library and Information Science included by SCI and SSCI in 2013 as research samples, this paper conducts an exploratory investigation into the measurement features of the usage data. According to the results, compared with citation data, usage is more discriminative and sensitive. In terms of distribution, usage presents an approximate and positively skewed distribution at high-frequency. An approximate power-law distribution is observed in the cumulative integral. The evaluation result of usage is independent to a certain degree and poses no essential opposition to the result of citation. Although the usage of the Wo S platform still has the limitations of generality, falsifiability and isolation, usage may be accepted as one of the possible options that supplement citation data and provide a richer field of vision for influence evaluation. There are 4 figures, 6 tables and 23 references in this paper.展开更多
基金the youth project“The Mechanism and Empirical Study of h-Type Information Network Measures”(No.71503083) supported by National Natural Science Foundation of China
文摘The emergence of new data has always been a major force driving the advance of informetrics. The magnitude of data usage for academic literature, given by the Web of Science(Wo S), can be expected to provide a supplementary perspective for citation analysis in three theoretical aspects, which are influence dimension, discipline difference and behavioral motive. Based on 166,767 articles in physics, computer science, economics, and Library and Information Science included by SCI and SSCI in 2013 as research samples, this paper conducts an exploratory investigation into the measurement features of the usage data. According to the results, compared with citation data, usage is more discriminative and sensitive. In terms of distribution, usage presents an approximate and positively skewed distribution at high-frequency. An approximate power-law distribution is observed in the cumulative integral. The evaluation result of usage is independent to a certain degree and poses no essential opposition to the result of citation. Although the usage of the Wo S platform still has the limitations of generality, falsifiability and isolation, usage may be accepted as one of the possible options that supplement citation data and provide a richer field of vision for influence evaluation. There are 4 figures, 6 tables and 23 references in this paper.
