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《牙科学杂志》高被引文章的文献计量分析

Bibliometric analysis of top-cited articles in Journal of Dental Sciences.

作者信息

Yang Li-Chiu, Liu Fu-Hsuan, Liu Chia-Min, Yu Chuan-Hang, Chang Yu-Chao

机构信息

School of Dentistry, Chung Shan Medical University, Taichung, Taiwan.

Department of Dentistry, Chung Shan Medical University Hospital, Taichung, Taiwan.

出版信息

J Dent Sci. 2023 Jan;18(1):338-344. doi: 10.1016/j.jds.2022.09.017. Epub 2022 Oct 13.

Abstract

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.

MATERIALS AND METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

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。

材料与方法

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。

结果

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feaf/9831801/16f56b2371a5/gr1.jpg

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