国际合作科学计量研究的国际现状综述  

An Overview of International Scientific Collaboration Research

作　　者：浦墨 袁军鹏 岳晓旭 刘志辉 

机构地区：[1]中国科学技术信息研究,北京100038

出　　处：《科学学与科学技术管理》2015年第6期56-68,共13页Science of Science and Management of S.& T.

摘　　要：为了分析当前基于科学计量学的国际科技合作研究现状,设计了雪花模型,对分析国际科技合作的论文从样本层次、分析方法、分析指标、驱动因素或合作机理探究以及合作成果效用性解析等五个维度进行分类并开展分析。通过分析可知:当前,国内外对国际科技合作的研究主要是以论文为分析媒介,从宏观(国家或地区)、中观(机构或领域)、微观(个人)等三个层次选取分析样本,借助于论文的数量(P)、论文占比(P%)、论文的被引频次(C)、篇均被引量/剔除自引的篇均被引量(CPP/CPPex)及自引率(s)等经典指标及为提高可比性而提出的数量复合指标或h类复合指标,采用统计分析、相关分析及社会网络分析等分析方法对国际科技合作的影响因素和合作成果的效用性等进行解析。In order to analyze the current research status about international scientific collaboration which based on scientometrics, we design a snowflake schema and use it to classify the literature about international scientific collaboration research by sample level, analysis method, analysis indicators, driving factors or collaboration mecha- nism inquiry and the effectiveness analysis of collaboration result. The analysis results show that nowadays domes- tic and foreign research on International scientific collaboration were mainly based on the internationally coau- thored scientific articles, selecting analysis samples from the macro （country or region）, middle （or field）, the mi- cro （individual） three levels, with the help of classical indicators （like the number of papers/articles （p）, the ratio t of papers/articles （P%）, cited number of papers/articles （C）, citations per paper/ citations per paper exclude self ci- tations （CPP/CPPex） and the self cited rate （s）） and the complex number indicators or the indicators like h-index that design to improve the comparability, using statistical analysis, correlation analysis and social network analysis to analyze the driving factors or collaboration mechanism of international scientific collaboration and the effective- ness analysis of collaboration result.

关 键 词：国际科技合作 雪花模型 研究进展 

分 类 号：G321.5[文化科学]