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绘制巨人的地图:对前100个最常被引用的甲状腺结节研究进行了参考文献分析
Xinfeng Zhou1, Mingjun Liu1, Tianjiao Gao2
1Department of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Frontiers in medicine
|April 9, 2025
概括
这种对甲状腺上部结节研究的图书统计分析揭示了关键趋势和有影响力的出版物. 深度学习正在成为诊断和治疗甲状腺结节的关键重点.
科学领域:
- 内分泌学 在内分泌学.
- 图书统计学 图书统计学
- 医疗信息学 医疗信息学
背景情况:
- 甲状腺疾病是一个全球性的健康问题,越来越多的研究重点.
- 检测和诊断方面的进步对甲状腺结节研究产生了重大影响.
- 图书计量分析为研究趋势和有影响力的作品提供了洞察力.
研究的目的:
- 识别和分析甲状腺结节研究中最常被引用的前100篇文章.
- 绘制知识格局的地图,并确定该领域的关键焦点.
- 为未来的甲状腺结节研究提供基础.
主要方法:
- 从SCI-E数据库 (2003-2021) 中对文章进行文献计量分析.
- 使用VOSviewer,CiteSpace,R Studio中的文献计数,以及微软Excel进行数据分析.
- 分析出版物数据,包括国家,机构,作者,期刊和关键词.
主要成果:
- 美国是领先的国家,哈佛大学是著名的机构.
- 甲状腺杂志发表的文章最多;尼基福罗夫·尤里·E.是最多产的作者.
- 关键的研究主题包括精细针吸收,致癌物质和管理,深度学习成为一个重要的重点.
结论:
- 这项研究提供了大量引用的甲状腺结节研究的文献统计概述.
- 主要研究领域包括甲状腺结节的诊断,管理和监测.
- 深度学习是甲状腺结节研究中一个关键的新兴领域.
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