基因饮食和内分泌和代谢疾病:一个图书统计研究和可视化分析分析
Xinwei Zhang1, Yanfei Jiang1, Tiantian Cai1
1Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Endocrine, metabolic & immune disorders drug targets
|October 30, 2024
概括
这种图书统计分析揭示了基因饮食研究的日益增长的趋势.
科学领域:
- 内分泌学和代谢性疾病.
- 营养科学 营养科学
- 图书统计学 图书统计学
背景情况:
- 基因饮食的特点是高脂肪和低碳水化合物摄入量,它对内分泌和代谢障碍的影响得到了广泛的研究.
- 了解研究趋势对于指导未来在这个快速发展的领域的科学研究至关重要.
研究的目的:
- 在过去的二十年里,对饮食及其对内分泌和代谢系统的影响进行研究的文献分析.
- 确定饮研究中的关键趋势,有影响力的贡献者和新兴的前沿.
主要方法:
- 在2003年至2023年间发表的508篇文章的图书统计分析,来源于Web of Science核心收藏.
- 使用VOSviewer进行网络可视化,使用R软件文献计量软件包进行数据分析,使用CiteSpace进行趋势分析.
主要成果:
- 出版物的持续上升趋势,从2003年的3个增加到2023年的508个,涉及来自57个国家的887个机构的2827名研究人员.
- 美国,意大利和中国是主要的贡献者,SAJOUX I是一个非常活跃的研究人员,Nutrients是一个重要的期刊.
- 诸如"肥胖"",原饮食"和"减肥"等关键词是最普遍的,这表明这些领域的重点很大.
结论:
- 图书统计分析提供了对饮食对内分泌代谢系统的影响的全面概述.
- 该研究强调了当前的研究前沿和趋势方向,为未来的研究和学术努力提供了宝贵的见解.
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