To understand a journal through four features: An example of Journal of Integrative Cardiology

Abstract

Purpose: Identifying journal features is important and meaningful. However, no journal combines Google map with social network analysis (SNA) to present publication information. Our aims were to visualize the journal characteristics for Journal of Integrative Cardiology ( JIC) and presenting resulting findings using SNA.Methods: Selecting 115 articles on October 21, 2017 from the JIC website, we analyzed author names, keywords, and the corresponding author's nation to report features: (1) article types, (2) nation distribution, (3) the most productive authors and their authorship clusters, and (4) journal main keywords since 2015. We present both a global map with the functionality of a Google Map (zooming, etc.) and network maps based on normalized relations. SNA Pajek software was performed in this study. Results:We found that (1) the most frequency of types is Research Article (44, 38.26%); (2) the most number of papers are from nations of US (26, 22.6%), Italy (22, 19.13%), and Brazil (16, 13.91%); (3) the most productive authors are Márcio Galindo Kiuchi and Shaojie Chen; (4) the most linked Keywords are blood pressure, heart failure and cardiovascular disease et al. Conclusions:Google map combined with SNA provides wide and deep insight into the relationships among nations, coauthor collaborations, and abstract keywords for JIC. The results can be offered to strategy and decision making for the target journal.