麻醉症:一个机器学习的文献计量分析 (1996-2024)
Minheng Zhang1, Xiaodong Hu2, Haiyan Wu1
1First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Frontiers in neurology
|July 11, 2025
概括
本文献分析揭示了麻醉症研究的关键趋势,突出了主要贡献者和新兴主题,如COVID-19联系和对嗜睡的新疗法.
科学领域:
- 神经学 神经学
- 图书统计学 图书统计学
- 睡眠医学 睡眠医学
背景情况:
- 麻醉症是一种罕见的神经系统疾病,导致慢性嗜睡.
- 了解全球麻醉症研究对于推进患者护理至关重要.
研究的目的:
- 对全球麻醉症研究进行全面的文献计量分析.
- 确定出版趋势,主要贡献者和新兴研究领域.
主要方法:
- 利用科学网络核心集合用于文章和评论数据.
- 采用了包括VOSviewer,CiteSpace和R在内的文献计量工具进行分析.
- 评估出版成果,国家/机构/作者贡献,以及关键词趋势.
主要成果:
- 从1996年到2024年,分析了5215个出版物,显示出大量的引用增长.
- 美国的出版物领先;斯坦福大学,INSERM和蒙彼利埃大学是顶级机构.
- 关键词表明转向分子机制,并发病症和像Pitolisant,Modafinil和Sodium Oxybate这样的治疗方法.
结论:
- 麻醉症的研究正在扩大,越来越多地关注分子方面和并发症.
- 像皮托利桑特,莫达菲尼尔和酸盐这样的治疗方法是突出的.
- 需要对神经递质相互作用和影响药物有效性的因素进行进一步的研究.
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