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从2006年到2021年对抗精神病药物诱导的代谢障碍的图书统计分析 基于WoSCC数据库
Zhihao Guo1,2, Zi Zhang1,2, Lu Li1,3
1Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, China.
Current neuropharmacology
|March 24, 2025
概括
对抗精神病诱导代谢障碍 (AIMetD) 的研究正在增长,美国在出版物方面处于领先地位. 关键的研究领域包括葡萄糖平衡,心血管代谢和表达分析,强调需要继续关注这些前沿领域.
科学领域:
- 药理学和毒理学 药理学和毒理学
- 代谢障碍 代谢障碍 代谢障碍
- 图书统计学 图书统计学
背景情况:
- 抗精神病药物被广泛使用,但药物诱导的代谢障碍 (MetD) 越来越令人担忧.
- 药物诱导的MetD背后的精确机制仍然不完全理解.
- 保持最新的研究进展对于推进该领域至关重要.
研究的目的:
- 进行对抗精神病诱导代谢障碍 (AIMetD) 研究趋势的文献计量和视觉分析.
- 确定AIMetD研究的现状和未来方向.
主要方法:
- 在科学网络核心集合数据库上进行了全面的文献搜索,从2006年到2021年检索了3478个出版物.
- 用R-biblioshiny进行了图书统计分析,用于描述性统计.
- 使用CiteSpace和VOSviewer进行网络可视化,共同引用分析,突发检测和关键字共同出现分析.
主要成果:
- 自2006年以来,AIMetD上的出版物输出显示出波动性的增长,有着重要的国际合作.
- 美国,伦敦国王学院和克里斯托夫·U·科雷尔分别被确定为最有影响力的国家/地区,机构和作者.
- 关键的研究集群集中在"抗精神病诱导的代谢功能障碍"",葡萄糖平衡"和"心血管代谢",新兴的关键词包括"LC-MS/MS"",严重抑郁症"",表达"和"平衡".
结论:
- 关于AIMetD的研究正处于持续发展的阶段,国际合作为此提供了便利.
- 积极的机构和作者对于理解AIMetD的基础,发展和新兴趋势至关重要.
- 像"LC-MS/MS"",表达"和"静止"这样的细分领域代表了需要持续调查的当前前沿领域.
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