Details

Autor(en) / Beteiligte

• Fan, Qing-Wei
• Li, Ling
• Yang, Hui-Ling
• Deng, Ting-Ting
• Xu, Dong-Dong
• Wang, Yun
• DU, Bing
• Yan, Jiang-Wei

Titel

A Bibliometric and Visual Analysis of the Current Status and Trends of Forensic Mixed Stain Research

Ist Teil von

• Fa yi xue za zhi, 2024-02, Vol.40 (1), p.20

Ort / Verlag

China

Erscheinungsjahr

2024

Link zum Volltext

Beschreibungen/Notizen

• To explore the context and hotspot changes of forensic mixed stain research through bibliometric approach. The literature of forensic mixed stain included in the core collection of Web of Science database from 2011 to 2022 were collected as the study object, and the annual publication number, countrie (region), institution, journal, keywords, etc. were bibliometrically and visually analyzed using the R-based Bibliometrix 1.1.6 package and VOSviewer 1.6.18 software. A total of 732 articles on forensic mixed stain were included from 2011 to 2022, with the annual number of articles published and the annual citation frequency showing a steady increase year by year. Among the 59 countries (regions) with the most published articles, the United States ranked first with 246 articles, followed by China with 153 articles. The literature came from 104 journals, and the total number of articles published in the top 10 journals was 633. FORENSIC SCI INT GENET ranked first with 307 articles. Visual analysis using VOSviewer software showed that keywords could be divided into four research clusters, namely the genetic marker development group (blue), the mixed stain typing analysis theory group (red), the sequencing analysis group (yellow), and the case sample research group (green). It can be divided into four development stages in terms of different time periods: early development (2011-2013), middle development (2014-2016), rapid development (2017-2020) and latest development (2021-2022). The number of publications by domestic and foreign scholars in the study of mixed stain in forensic science is showing a relatively stable trend. Machine learning, next generation sequencing and other research have been the hottest topics that have attracted the most attention in recent years, which is expected to further develop the theory of mixed stain typing and sequencing analysis in forensic mixed stain research.