Yang Li-Chiu, Liu Fu-Hsuan, Liu Chia-Min, Yu Chuan-Hang, Chang Yu-Chao
School of Dentistry, Chung Shan Medical University, Taichung, Taiwan.
Department of Dentistry, Chung Shan Medical University Hospital, Taichung, Taiwan.
J Dent Sci. 2023 Jan;18(1):338-344. doi: 10.1016/j.jds.2022.09.017. Epub 2022 Oct 13.
BACKGROUND/PURPOSE: Bibliometric analysis is a method for quantifying the article distribution, impact, and performance. The purpose of this study was to identify the most top-cited articles published in Journal of Dental Sciences (JDS) and further analyze their main characteristics.
Web of Science, Journal Citation Reports database was searched to retrieve the most-cited articles in JDS published from 2007 to July 31, 2022. Among the included top-cited articles, the following parameters were recorded and analyzed: article title, article type, year, country, number of citations, and average citations pre year. Microsoft Excel was applied for the descriptive bibliometric analysis.
41 top-cited articles were filtered from total 1165 JDS articles in Web of Science database. The results showed that 41 top-cited articles were cited between 20 and 186 times from Journal Citation Reports. Most of the article types are original article (28/41, 68.29%) following by review article (7/41, 17.07%). The majority of articles were originated from Taiwan (23/41, 56.10%). The top 4 most cited articles were relative to the research topic on COVID-19, lateral canal, guided-tissue regeneration barriers, and platelet-rich fibrin, respectively. However, articles analyzed by the average citations per year since publication were focused on COVID-19 followed by artificial intelligence.
This bibliometric analysis illustrates the progress and trend of researches in JDS. The results may also offer a reference for recognizing the hot issues with the most citations in JDS.
背景/目的:文献计量分析是一种量化文章分布、影响力和表现的方法。本研究的目的是识别在《牙科科学杂志》(JDS)上发表的被引用次数最多的文章,并进一步分析其主要特征。
检索科学网、期刊引证报告数据库,以获取2007年至2022年7月31日在JDS上发表的被引用次数最多的文章。在纳入的被引用次数最多的文章中,记录并分析以下参数:文章标题、文章类型、年份、国家、被引用次数以及每年的平均被引用次数。应用微软Excel进行描述性文献计量分析。
从科学网数据库中1165篇JDS文章中筛选出41篇被引用次数最多的文章。结果显示,从期刊引证报告来看,41篇被引用次数最多的文章被引用了20至186次。大多数文章类型是原创文章(28/41,68.29%),其次是综述文章(7/41,17.07%)。大多数文章来自台湾地区(23/41,56.10%)。被引用次数最多的前4篇文章分别涉及新冠病毒病、侧支根管、引导组织再生屏障和富血小板纤维蛋白的研究主题。然而,按自发表以来每年的平均被引用次数分析,文章主要集中在新冠病毒病,其次是人工智能。
本文献计量分析阐述了JDS的研究进展和趋势。研究结果也可为识别JDS中被引用次数最多的热点问题提供参考。