职业与健康 ›› 2023, Vol. 39 ›› Issue (17): 2411-2416.

• 论著 • 上一篇    下一篇

基于CiteSpace的国家自然科学基金抑郁项目资助可视化分析

钟地香a, 洪汀a, 戚圆圆a, 楚喆悠a, 敖逸轩a, 苗迎春b   

  1. 北京中医药大学东直门医院a脑病科,b国际部,北京 100700
  • 收稿日期:2023-03-06 修回日期:2023-03-28 出版日期:2023-09-01 发布日期:2026-03-25
  • 通信作者: 苗迎春,主任医师,硕士研究生导师,E-mail:miaoyingchun80@126.com
  • 作者简介:钟地香,女,在读硕士研究生,研究方向为中西医结合脑病方向。
  • 基金资助:
    北京中医药新奥奖励基金(2018-XAJLJJ-020); 北京市科技计划基金(Z141107002514078)

Visualization analysis of depression project funded by National Natural Science Foundation of China:Based on CiteSpace

ZHONG Dixianga, HONG Tinga, QI Yuanyuana, CHU Zheyoua, AO Yixuana, MIAO Yingchunb   

  1. a Neurology Department,b International Department,Dongzhimen Hospital of Beijing University of Chinese Medicine,Beijing 100700,China
  • Received:2023-03-06 Revised:2023-03-28 Online:2023-09-01 Published:2026-03-25
  • Contact: MIAO Yingchun,Chief physician,Master's supervisor,E-mail:miaoyingchun80@126.com

摘要: 目的 基于2011—2021年国家自然科学基金(National Natural Science Foundation of China,NSFC)对抑郁相关项目资助情况,分析研究热点,为今后研究提供内容及方向参考。方法 全面检索NSFC官方大数据平台、NSFC查询网和LetPub数据库,查询2011—2021年抑郁相关研究,提取批准年份、资助类型、省份等信息,进行统计分析与可视化。结果 2011—2021年抑郁领域的资助共1 390项,资助金额达67 192万元,呈波动上升趋势,涉及八大学部,54个一级学科,呈现多学科联合发展态势,新技术和新方法不断运用为特点。地区分布不平衡,依托单位以综合院校(34.3%)与西医高校(19.01%)为主,中医药研究在各单位涌现。研究主要围绕突触可塑性、神经环路、机器学习、针刺技术等关键词展开。结论 NSFC资助分析有助于明确当前抑郁研究热点,可为今后工作者们指明方向,同时扬长补短,扎实学习相关新理论,充分利用新技术、新方法,突出学科特色,进一步丰富抑郁领域的科学内涵。

关键词: 国家自然科学基金, 抑郁, CiteSpace, 可视化分析

Abstract: Objective Based on the support of the National Natural Science Foundation of China(NSFC) in the field of depression from 2011 to 2021,the research hotspots were analyzed in order to provide references for future research. Methods Comprehensively search NSFC official website,NSFC searching website,and LetPub database,query the related research on depression from 2011 to 2021,extract the approved year,funding type,province,et al for statistical analysis and visualization. Results From 2011 to 2021,there were a total of 1 390 grants in the field of depression,with a funding amount of 671.92 million yuan,showing a fluctuating upward trend,involving eight major academic departments and 54 first level disciplines,showing a trend of multidisciplinary joint development,and characterized by the continuous application of new technologies and methods. The regional distribution was uneven,with comprehensive universities(34.3%) and Western medicine universities(19.01%) as the main supporting units. Traditional Chinese medicine research had emerged in various units. The research mainly focuses on keywords such as synaptic plasticity,neural circuits,machine learning,and acupuncture techniques. Conclusions NSFC funding analysis helps to clarify the current hotspots of depression research and provide direction for future workers. At the same time,it enhances strengths and complements weaknesses,solidly learns relevant new theories,fully utilizes new technologies and methods,highlights disciplinary characteristics,and further enriches the scientific connotation of the field of depression.

Key words: National Natural Science Foundation of China, Depression, CiteSpace, Visualization analysis

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