A Comparative Analysis of Otolaryngology Journal Characteristics and Metrics Across World Bank Income Groups

Nader Zalaquett, Nadim Hamadeh,Rolvix Patterson,Eric Kim, Zeina Korban,Mark Shrime

crossref(2024)

引用 0|浏览0
暂无评分
摘要
Study Background and Aims: There are marked barriers to research and publishing for low- and middle- income country (LMIC) ENT researchers. This could be reflected in LMIC journals characteristics and research, which has never been investigated. We aim to characterize differences in the number, geographic distribution, publishing costs, reach, number of articles, citations, and impact factors of high-income country (HIC) journals compared to LMIC journals. Methods: We included journals listed under the category “Otorhinolaryngology’ in three major journal databases. From journal websites, we collected data related to financial model, waiver policy, access, and distribution. Additionally, from the Clarivate Journal Citation Reports 2022, we collected the following journal metrics: total articles, total citations, journal citation indicator, journal impact factor (JIF), 5-year JIF, and JIF without self cites.Results: 79.7% HIC journals offered English editing services, compared with 25.0% of LMIC journals. Additionally, 40.0% of HIC journals are solely open access compared with 92.0% in LMICs. Lower journal metrics were seen in LMIC journals, including 2022 mean total articles (107 HICs vs 60 LMICs), total citations (4296 vs 751), journal citation indicator (0.88 vs 0.35), and journal impact factor (12.68 vs 0.82).Discussion and Importance to field: We have identified substantial differences in the distribution, English editing services, and journal metrics of HIC journals compared to LMIC journals. These may point to potential barriers to publishing and research access for those in LMICs. To support LMIC research, future work should evaluate opportunities to increase the number of ENT journals in LMICs, expand open access publishing, improve access to language services, and increase LMIC research impact.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要