中文科技期刊原创指数研究--基于因子分析法的实证分析

Research on Original Indexes of Chinese Sci-Tech Journals:Empirical Analysis Based on Factor Analysis

文章以中国科学引文数据库(CSCD)的中文核心库科技期刊及其发表的论文为研究样本,运用因子分析法对中文科技期刊原创指数进行实证研究。选取10个衡量期刊原创水平的指数(内核指数、黏性指数、贡献指数、特色指数、专业指数、全媒体指数、数字化指数、首发指数、国际作者指数、国际编纂指数),使用主成分分析法提取4个原创因子(原创内容因子、品牌特质因子、媒体传播因子、国际化因子),构建具有3级指标的中文科技期刊原创指数体系。研究表明,中文科技期刊需以原创为本,培育品牌意识,治理学术乱象,增强核心竞争力,打造具有原创力的出版物,以此建立良好的原创生态圈。

The sci-tech journals in Chinese Science Citation Database and their papers were selected as the research samples,and the factor analysis method was used to conduct empirical research on the original indexes of sci-tech journals.Ten indicators(core,viscosity,citation,feature,specialty,media,digital,pioneer,global and compile)for measuring the original level of academic periodicals were proposed.The principal component analysis method was used to extract four original factors(original content,brand traits,media communication,globalization),and an original index system for academic periodicals with three indexes was constructed.Research shows that scitech journals need to be based on originality,cultivate brand awareness,manage academic chaos,and enhance core competitiveness,so as to create original publications and establish a good original ecological circle.