基于Citespace的护理人员在核与辐射事件中研究热点的可视化分析

摘要/Abstract

摘要： 通过检索Web of Science核心数据库中有关护理人员在核与辐射领域中研究的文献,运用Citespace软件对文献进行可视化分析,分析了护理人员在核与辐射事件中相关研究的现状、热点和趋势。结果显示,共获得262篇文献,发文量成上升趋势,发文量最高的国家为日本(66篇),中心性最高的国家为美国(0.27);发文量最高的机构为福岛县立医科大学(26篇),中心性最高的机构为哈佛大学(0.11);关键词分析显示,护理人员在核与辐射事件中的研究热点主要集中在辐射暴露后公众健康、护理人员对核与辐射灾害的预防与应急准备状态、辐射防护方面;灾害预防的应急准备及管理是未来护理人员在核与辐射领域的研究趋势。未来研究应增进国内外学者与研究机构的学术交流与合作,致力于现存问题的解决和辐射护理新技术的发展,进一步推动护理人员在核与辐射领域的发展。

关键词: 核辐射, 辐射事件, 可视化, 聚类分析

Abstract: This article analyzes the current status, hotspots and trends of research on nuclear and radiological events among nursing staff. By retrieving the literature related to the research of nursing staff in the field of nuclear and radiation in the core set of the Web of Science database, the Citespace software is used to conduct a visual representation analysis of the literature. The results show that a total of 262 documents were obtained, and the number of published papers is on the rise. Country with the highest number of published papers is Japan (66), and country with the highest centrality is the United States (0.27). Institution with the highest number of published articles is Fukushima Prefectural Medical University (26 articles), while institution with the highest centrality is Harvard University (0.11). Keyword analysis shows that the research hotspots of nursing staff in nuclear and radiological events mainly focus on public health after radiation exposure, the prevention and emergency preparedness status of nursing staff for nuclear and radiation disasters, and radiation protection. Emergency preparedness and management for disaster prevention is the research trend for future nursing staff in the fields of nuclear and radiation. Future research should enhance academic exchange and cooperation among scholars and research institutions at home and abroad, focusing on solving existing problems and developing new radiation care technologies, with the aim to further promote the development of nursing personnel in the fields of nuclear and radiation and to provide reference for later research.

Key words: nuclear radiation, radiation event, visual representation, cluster analysis

中图分类号:

TL73

郭姗姗, 侯备, 高燕, 朱亚男, 梁应凤, 刘柳. 基于Citespace的护理人员在核与辐射事件中研究热点的可视化分析[J]. 辐射防护, 2025, 45(6): 638-644.

GUO Shanshan, HOU Bei, GAO Yan, ZHU Ya′nan, LIANG Yingfeng, LIU Liu. Visual representation analysis of research hotspots for nurses in nuclear and radiological events based on Citespace[J]. RADIATION PROTECTION, 2025, 45(6): 638-644.

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