LAUSR

Copyright © 2019 The Korean Society of Radiology One of the aims of the Korean Journal of Radiology (KJR) is to publish trendy articles of high academic interest. KJR started to publish articles on deep learning or artificial intelligence as many other journals are interested in them (1-14). KJR also welcomes articles on radiomics (1, 1517), other advanced imaging techniques, and new imaging systems (18-50). KJR increasingly publishes meta-analyses (2, 51-60), and guidelines (19, 31, 61-79), and KJR also publishes consensus statements and recommendations (67, 80-82) in collaboration with Korean Society of Radiology or other societies (68, 78, 83, 84). Trends show increasing number of published articles with a prospective design and/ or multicenter involvement in the studies (2, 20, 21, 49, 50, 85-127). The numbers of articles with guidelines or consensus statements/recommendations were one in 2016, three in 2017, four in 2018, and 12 in 2019. The numbers of articles with prospective studies were 9 (13.0% of 69 original articles) in 2016, 7 (10.9% of 64 original articles) in 2017, 15 (13.4% of 112 original articles) in 2018, and 13 (12.0% of 108 original articles) in 2019. Six (5.4%) and nine (8.3%) multicenter studies were published in 2018 and in 2019, respectively. Among the articles published in the period from 2017 to 2018, top 37 articles with citations of 6 or more as of December 8, 2019 in the Web of Science core collection A Glimpse on Trends and Characteristics of Recent Articles Published in the Korean Journal of Radiology