Altmetrics视角下的人文社会科学学术专著影响力评价研究——基于BkCI、Amazon和Goodreads的比较分析  

Research on Influence Evaluation of Humanities and Social Sciences Academic Monographs from the Perspective of Altmetrics:Comparative Analysis Based on BkCI,Amazon,and Goodreads

作　　者：李江波 张梁 姜春林[2] Li Jiangbo;Zhang Liang;Jiang Chunlin(Department of Management Science and Engineering,School of Business,Qingdao University,Qingdao 266100;WISE Lab,Institute of Science of Science and S&T Management,Dalian University of Technology,Dalian 116024)

机构地区：[1]青岛大学商学院管理科学与工程系,青岛266100 [2]大连理工大学科学学与科技管理研究所暨WISE实验室,大连116024

出　　处：《情报学报》2020年第9期896-905,共10页Journal of the China Society for Scientific and Technical Information

基　　金：山东省社会科学规划研究项目“基于科学计量大数据的山东人文社科学术专著评价研究”(20CTQJ03);国家社会科学基金项目“融合多维信息计量指标的人文社会科学代表性学术专著评价方法与实现机制研究”(18BTQ078)。

摘　　要：Altmetrics自提出以来发展迅速,极大地拓宽了文献计量学评价学术成果的研究范围。目前绝大多数的Altmetrics研究集中在对论文学术成果的评价上,学术专著或其他类型学术成果的评价似乎不够受重视。然而,专著是社会科学和人文学科学术成果的重要形式,本研究将着重研究专著学术成果的评价。本文通过对出版时间标准化构建学术专著在数据库中的日均被引次数(daily average times cited,DATC)指标。此外,本文使用递归神经网络(recurrent neural network,RNN)的方法对专著的在线评论进行情感分类,并使用情感词典对评论文本进行细粒度情感分析,得到情感分析值指标。研究结果发现,部分学术图书在BkCI数据库中的被引次数较少,但其DATC指标较高,原因是这些学术专著的出版时间较晚,还没有足够的时间积累引文。这说明专著的被引次数少并不意味着它们的学术影响力一定低,仅利用引文索引数据库中的被引次数来评价学术专著的学术影响力是有缺陷的。另一个结果表明,学术专著在在线评论方面的Altmetric指标与引文相关性很小,特别是在情感分析均值指标和引文指标之间。低相关性意味着在线评论方面的Altmetric指标在评价学术专著学术影响力方面几乎没有可行性,只能用于评价学术专著的社会影响力。Altmetrics has developed rapidly since it was introduced,significantly broadening the research scope of bibliometrics evaluation.Currently,the vast majority of altmetrics research focuses on evaluating the academic achievements of papers,and it seems that not enough attention is paid to the evaluation of academic monographs or other types of academic achievements.However,the monograph is an important form of academic achievement in Social Sciences and Humanities.This study focuses on the evaluation of academic achievements of the monograph.By standardizing the publishing time,we calculate the daily average citation of monographs in the database.This study also uses a recurrent neural network method to classify the online reviews of monographs.It uses an emotion dictionary to analyze the review text with finegrained emotion and gets the sentiment analysis indicator.The results show that some academic books are cited less in the BkCI database,but their daily average citation is higher because these academic monographs are published later,and there is not enough time to accumulate citations.This shows that the low citation of monographs does not mean that their academic influence should be low.It is problematic to evaluate academic monographs’influence only by using the citation in the citation index database.Another result shows little correlation between Altmetrics indicators and citation indicators,especially between average sentiment score indicator and citation indicator.Low correlation means that the Altmetric indicators from online reviews do not have the feasibility to evaluate academic influence of academic monographs,so they can only be used to evaluate the social influence of academic monographs.

关 键 词：Altmetrics BkCI 在线图书评论 递归神经网络(RNN) 情感分析 

分 类 号：G353.1[文化科学—情报学]