对死后间隔估计趋势和合作网络的视觉分析:一项为期15年的研究 (2006-2020年)
1School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China. zhaichuangyan@163.com.
Forensic science, medicine, and pathology
|October 30, 2024
概括
本研究分析了2006-2020年间的死后间隔 (PMI) 研究趋势,揭示了持续增长和虚拟尸检等关键领域. 它强调了技术进步和合作,塑造了PMI估计的未来.
科学领域:
- 法医科学 法医科学 法医科学
- 生物技术是生物技术.
- 数据科学数据科学数据科学
背景情况:
- 在法医调查中,死后间隔 (PMI) 估计至关重要.
- 从2006年到2020年,该领域在Web of Science (WOS) 索引的文献中出现了持续增长.
- 了解研究趋势和合作对于推进PMI方法论至关重要.
研究的目的:
- 视觉分析PMI估计文献中的发展趋势和研究热点.
- 检查作者,国家和机构在PMI研究中的合作努力.
- 确定推动PMI创新的新兴技术和跨学科方法.
主要方法:
- 使用CiteSpace.5.7.R2软件进行图书统计分析.
- 从2006年到2020年,通过Web of Science (WOS) 索引的文献的视觉分析.
- 检查关键词的同时出现,作者,国家和机构网络.
主要成果:
- 15年来,PMI估计文献的持续增长.
- 关键的研究热点包括吹,线粒体DNA和虚拟尸检.
- 像RNA稳定性分析和虚拟尸检这样的技术进步非常重要.
- 科学机构占主导地位,在国家合作中出现并发和多集群的趋势.
结论:
- 传统的PMI方法正在与创新的跨学科方法一起成熟.
- 技术进步是PMI研究演变的关键驱动力.
- 本研究通过确定新出现的趋势和热点,为未来的PMI调查提供了路线图.
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