Visual analysis of the construction of featured columns in medical journals based on CiteSpace
Objective To explore the current status of the construction of featured columns in medical journals and analyze the future development direction of such columns.Methods Bibliometric analysis was applied to select literature published in the China National Knowledge Infrastructure(CNKI)database from January 1,2014,to June 30,2024,with the themes of"medical journals"and"featured columns".CiteSpace 6.3.1 software was used for visual analysis,and related maps were drawn.Results A total of 244 pieces of literature were retrieved in this study.Based on inclusion and exclusion criteria,53 pieces of literature were ultimately included in the study.The most frequently occurring keywords in the included literature were medical journals,column setting,column,featured column,and scientific journals.The network density of the keyword co-occurrence map was 0.0349.Cluster analysis showed a clustering module value(Q-value)of 0.6615 and an average silhouette value(S-value)of 0.9541.The top six clusters were medical journals,publication characteristics,branding,contribution value,scientific journals,and journal quality.The keyword burst analysis identified five bursting keywords:journal column,topic selection and planning,content,key issues,and column planning.The network density of the author co-occurrence map was 0.0238,and the network density of the institution co-occurrence map was 0.0109,both of which were relatively sparse with low central-ity.Conclusion Over the decade from 2014 to 2024,this study used bibliometric analysis to demon-strate the current status of the construction of featured columns in medical journals.Currently,there is relatively little literature published in this field,with medical journals,column setting,and featured columns being the key research areas.
万方数据
维普
