期刊特征因子与被引指标的协同及相关研究  

Study on Coordination and Correlation between Eigenfactor and Citation Impact Indicators

作　　者：俞立平[1] 

机构地区：[1]宁波大学商学院 现代管理研究中心

出　　处：《情报学报》2013年第9期952-960,共9页Journal of the China Society for Scientific and Technical Information

基　　金：国家社科基金后期资助:科技评价中多属性评价方法基本问题研究(10FTQ003)

摘　　要：本文以2011年汤森路透《期刊引用报告》中的66种光学期刊为例，首先对传统协调度计算方法进行优化，提出一种新的两维协调度计算模型，然后采用TOPSIS法对特征因子分值和论文影响分值进行评价，得到特征因子值；再采用TOPSIS和因子分析对各被引指标进行评价，得到被引指标值；最后实证分析特征因子与被引指标的协调性与相关性。研究结果表明，特征因子与被引指标协调度较低；特征因子与被引指标无关；特征因子数据分布特点是其与被引指标不相关及协调度较低的根源；特征因子的独特性对期刊评价具有重要意义，可以将其列为一级指标处理；研究特征因子与其他指标关系时必须进行数据预处理与统计检验；对于其他学科特征因子与被引指标的关系有待进一步验证。According to Journal citation reports 2011 of Thomson Reuters, first this paper gives a new two-dimensional coordination level model, second evaluates eigenfactor and impacted index based on TOPSIS. third analyzes coordination and relativity between eigenfactor and impacted index. The results show coordination level of eigenfactor and impacted index is very lower which average is 0. 279. eigenfaetor has no relevance to impacted index. All of these reason is the characteristics of data distribution of eigenfaeot. The distinctiveness of eigenfactor is very important to jounal evaluation and eigenfactor may be used as one class index. Data pretreatments and statistical test is necessary when studying the relationship between eigenfactor and impacted facor. The characteristic of other subjects needs further test.

关 键 词：特征因子 被引指标 两维协调度 相关性 

分 类 号：G353.1[文化科学—情报学]