新型代理指标评估与传统引文分析动态结合的学术评价方法构建模式研究及实证分析

项目名称： 新型代理指标评估与传统引文分析动态结合的学术评价方法构建模式研究及实证分析

项目编号： No.71273250

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 管理科学

项目作者： 吴强

作者单位： 中国科学技术大学

项目金额： 54万元

中文摘要： 传统引文分析方法自1927年由Gross等学者提出后，经Garfield、Small等大批先驱的不懈努力获得了飞速发展，但始终无法摆脱滞后性的缺陷。随着网络时代的来临，一些新型代理指标，如评论数、书签数、读者数、关注数、下载量、论文因子值等应运而生，它们的最大特点是即时性，可以弥补传统引文分析的不足。因此，如何有效地将两者结合起来进行学术评估是一个很有研究价值的新问题，国内外在此方面的探索方兴未艾。本课题将在对比分析新型代理指标、传统引文指标特点的基础上，建立年度动态权重模型研究不同指标多种结合模式在理论上的合理性，并借助于Web of Science、CNKI、CSCD、CSSCI、PLoS、Faulty1000等资料库中的大量数据研究动态结合模式的应用价值。本课题提出的动态权重构建模式、权威学者评价方法、多版本论文引用次数合并算法等都是较为独特的分析手段，必将促进该领域相关知识的发展。

中文关键词： 引文分析；代理评价指标；动态权重；学术评价；科学计量学

英文摘要： Many pioneers of traditional citation analysis such as Garfield, Small, etc. have contributed greatly to the advancement of the method first proposed by Gross et al. in 1927. It has been criticized frequently that the inherited limitation of citation analysis as a retrospective measurement is the time lags. The advent of the Internet and the Web 2.0 participatory platform created a new digital information environment, in which, many new potential, powerful measurements were born. The indicators of a Web object's influence can be captured as comments, bookmarks, readers, mentions, downloads, and article factor. As a contrast to the traditional citation-based measurements, the dominant feature of the alt-metrics is quick action, which can provide the alternative, or a timely assessment. However, are these alternative new measurements valid and meaningful assessments of scholars' influences in comparison with the widely-accepted traditional retrospective measurements? If some of these measurements do provide reliable assessments, how can we integrate them with the well-established citation analysis to derive at a better assessment model? These problems are very intersting and the study on them are in the ascendant. This proposed research aims to analyze multiple data sources to investigate the validity and applica

英文关键词： Citation Analysis；Alt-metrics Evaluation；Dynamic Weight；Academic Performance Assessment；Scientometrics