In order to comparatively investigate usage patterns of journal official sites and pay-for-access platform and then to support decision-making,this study selected academic papers,published during 2014-2015,of 61 Chine...In order to comparatively investigate usage patterns of journal official sites and pay-for-access platform and then to support decision-making,this study selected academic papers,published during 2014-2015,of 61 Chinese open access journals indexed by CSSCI and CSCD in eight disciplines,"Library,Information and Archival Science","Management Science","Economics","Pedagogy","Computer Science","Earth Science","Math"and"Biology".Chinese usage patterns in user platform preferences and user interest preferences were explored by analyzing usage data from journal official sites and pay-for-access platforms.Operatively,comparisons of user platform preferences were implemented by descriptive statistics and correlation analysis and comparisons of user interest preferences were explored by Jaccard similarity coefficient and co-word analysis.It proved that there were differences in user platform preferences and user interest preferences between journal official sites and pay-for-access platforms.However,factors that affect usage patterns were very complicated.How to probe into the mechanism of contributory factors and then verify them was still an important problem to be solved in further study.展开更多
基金an outcome of the key project“Theory and Method Research of Data Science Towards Knowledge Innovation Service”(No.16ZDA224)supported by National Social Science Foundation of China
文摘In order to comparatively investigate usage patterns of journal official sites and pay-for-access platform and then to support decision-making,this study selected academic papers,published during 2014-2015,of 61 Chinese open access journals indexed by CSSCI and CSCD in eight disciplines,"Library,Information and Archival Science","Management Science","Economics","Pedagogy","Computer Science","Earth Science","Math"and"Biology".Chinese usage patterns in user platform preferences and user interest preferences were explored by analyzing usage data from journal official sites and pay-for-access platforms.Operatively,comparisons of user platform preferences were implemented by descriptive statistics and correlation analysis and comparisons of user interest preferences were explored by Jaccard similarity coefficient and co-word analysis.It proved that there were differences in user platform preferences and user interest preferences between journal official sites and pay-for-access platforms.However,factors that affect usage patterns were very complicated.How to probe into the mechanism of contributory factors and then verify them was still an important problem to be solved in further study.
