中国比较医学杂志2024，Vol.34Issue(2)：72-78,7.DOI:10.3969/j.issn.1671-7856.2024.02.009
抑郁症动物模型的研究现状与趋势分析—基于CiteSpace的文献计量分析
Research status and trend of depression models in animals:a bibliometric analysis based on CiteSpace
摘要
Abstract
Objective Using literature metrology,scientific literature in the field of depression models in animals was analyzed to better understand the development trends and hot topics in this field.Methods We obtained publications on depression and animal models from 2013 to 2022 from the Web of Science core set database.CiteSpace 6.1 R1(64-bit)Basic was used to analyze annual publications,countries,institutions,authors,and keywords related to this field.Results A total of 1000 articles were included in this study.From 2013 to 2022,the number of articles published increased gradually and then stabilized.In terms of the number of articles,the United States had the most published articles(256).Wegener Gregers was the most influential author in the field with 23 published articles.Conclusions The field focuses on signaling pathways and therapeutic approaches to determine the pathogenesis of depression and better treatments.This study provides a visual analysis of trends in depression research to help researchers keep up with the latest developments.关键词
动物模型/抑郁症/文献计量分析Key words
animal models/depression/bibliometric analysis分类
医药卫生引用本文复制引用
杨加辉,罗小泉,林萌,罗涛,龚美富..抑郁症动物模型的研究现状与趋势分析—基于CiteSpace的文献计量分析[J].中国比较医学杂志,2024,34(2):72-78,7.基金项目
江西省科技基础条件平台(20212BCD46005) （20212BCD46005）
江西省卫生健康委科技项目(202310474) （202310474）
江西省中医药管理局科技计划项目(2022B1069). （2022B1069）
