In Journal of dental sciences
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.
Yang Li-Chiu, Liu Fu-Hsuan, Liu Chia-Min, Yu Chuan-Hang, Chang Yu-Chao
2023-Jan
Bibliometric analysis, Citation analysis, Journal of Dental Sciences, Web of Science
