神经科学领域前沿发展态势研究：基于ESI研究前沿的深度挖掘分析

doi:10.16507/j.issn.1006-6055.2022.05.006

世界科技研究与发展 ›› 2023, Vol. 45 ›› Issue (1): 63-76.doi: 10.16507/j.issn.1006-6055.2022.05.006

神经科学领域前沿发展态势研究：基于ESI研究前沿的深度挖掘分析

谢秀芳1,2 王茜3 陈挺4,5,6 黄芳1,2

1.首都医科大学医学人文学院医学信息学学系，北京100069；2.首都医科大学图书馆，北京100069；3.中国医学科学院医学信息研究所，北京100020；4.中国科学院战略咨询研究院，北京100190；5.中国科学院文献情报中心，北京100190；6.中国科学院大学经济与管理学院图书情报与档案管理系，北京100190

出版日期:2023-02-25 发布日期:2023-03-13
基金资助:
北京市社会科学基金“基于科技路线图的脑科学长期发展趋势研究”（19GLC055），北京市优秀人才培养资助项目“基于科技路线图的脑科学长期发展趋势预见”（2018000020124G137），国家科技图书文献中心委托子任务“医学领域规范数据加工和丰富化”

Study on Frontier Development Trendsin Neuroscience: An Analysis Based on Deep Mining of ESI Research Fronts

XIE Xiufang1,2 WANG Qian3 CHEN Ting4,5,6 HUANG Fang1,2

1. Department of Medical Informatics, School of Medical Humanities, Capital Medical University, Beijing 100069, China; 2. Library of Capital Medical University, Beijing 100069, China; 3. The Institute of Medical Information & Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China; 4. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; 5. National Science Library, Chinese Academy of Sciences, Beijing 100190, China; 6. University of Chinese Academy of Sciences, Beijing 100190, China

Online:2023-02-25 Published:2023-03-13

摘要/Abstract

摘要：

本文构建了基于ESI研究前沿的深度挖掘方案，通过研究前沿之间的共被引网络聚焦领域研究热点、主题词共现识别神经科学领域研究重点主题；利用KeyBERT模型对研究前沿核心文献和施引文献的标题与摘要进行关键词识别，分析关键词热度年际变化，深入揭示神经科学领域研究前沿热点发展趋势；通过对研究前沿核心文献及其施引文献和参考文献进行国别分析，反映世界各国在神经科学领域研究前沿发展的学科影响力，并进一步分析中国在神经科学领域研究前沿的覆盖度和活跃度。分析表明：阿尔茨海默病、帕金森病、多发性硬化症等神经系统疾病是全球神经科学领域研究最广泛深入的重点主题，脑机接口、血清神经丝轻链蛋白、非侵入性脑刺激技术等是近年来的新兴研究热点，感染新冠病毒对神经系统的影响、新冠肺炎病人的神经系统表现以及一线医务人员的心理健康等疫情相关主题也成为近两年神经科学领域的研究热点。近年来我国在神经科学领域研究前沿的覆盖度和活跃度升高，研究前沿引领度、贡献度和参与度均有较大提升，在新冠疫情相关主题、肠道微生物菌群、靶向治疗、人工感觉神经等研究方向具有一定发展优势，在阿尔茨海默病、脑功能网络、卒中、神经性疼痛、胶质瘤等方向具有一定的发展潜力。

关键词: 学科情报, 神经科学, 研究前沿, 发展态势, KeyBERT, 阿尔茨海默病, 脑功能网络, Covid-19

Abstract:

A deep mining schema of ESI research fronts was constructed to reveal development trends of frontiers in neuroscience. The research hotspots were identified based on the co-cited network of research fronts, and the key topics were identified through the co-occurrence of subject words among the research fronts. Based on the KeyBERT model, the keywords of titles and abstracts of top papers and citing papers involved in the research fronts were extracted and analyzed the inter-year changes of keyword hotspots to reveal the development trends of research hotspots in this field. The countries of top papers, citing papers and references involved in the research fronts were analyzed to reflect the discipline influence of different countries around the world in the field development. The results showed that neurological diseases such as Alzheimer's disease, Parkinson’s disease, and multiple sclerosis were the most widely and deeply researched vital topics in the global neuroscience field, brain-computer interfaces, serum neurofilament light chain protein, and non-invasive brain stimulation tools were emerging research hotspots in recent years, and epidemic-related topics such as the effects of Covid-19 infection on the nervous system, the neurological manifestations of Covid-19 patients and the mental health of frontline medical staff had also become hot topics in the field of neuroscience in the past two years. The coverage and activity of China in the research fronts of neuroscience have increased, and the leadership, contribution, and participation in the research fronts of this field have also increased significantly in recent years. We have certain development advantages in the directions of Covid-19 epidemic-related topics, gut microbiota, targeted therapy, artificial sensory nerves, and have certain development potentials in the directions of Alzheimer’s disease, brain function network, stroke, neuropathic pain, glioma, etc. The results can provide disciplinary intelligence services for developing the neuroscience field in China.

Key words: Disciplinary Intelligence, Neuroscience, Research Fronts, Development Trends, KeyBERT, Alzheimer’s Disease, Functional Brain Networks, Covid-19

谢秀芳王茜陈挺黄芳. 神经科学领域前沿发展态势研究：基于ESI研究前沿的深度挖掘分析[J]. 世界科技研究与发展, 2023, 45(1): 63-76.

XIE Xiufang WANG Qian CHEN Ting HUANG Fang. Study on Frontier Development Trendsin Neuroscience: An Analysis Based on Deep Mining of ESI Research Fronts[J]. WORLD SCI-TECH R&D, 2023, 45(1): 63-76.

[1]	周隽如刘智勇. 医学人工智能领域专利技术主题发展态势研究[J]. 世界科技研究与发展, 2024, 46(4): 497-510.
[2]	张彪董坤高道斌吴红. 中美云计算领域专利技术主题发展态势预测研究[J]. 世界科技研究与发展, 2023, 45(1): 51-62.
[3]	李非凡. 国际量子密码技术专利发展态势与热点分析[J]. 世界科技研究与发展, 2022, 44(1): 69-80.
[4]	徐婧唐川杨况骏瑜. 量子传感与测量领域国际发展态势分析[J]. 世界科技研究与发展, 2022, 44(1): 46-58.
[5]	黄鹏飞李丹丹毛开云. 全球3D生物打印技术研究态势分析[J]. 世界科技研究与发展, 2021, 43(6): 750-763.
[6]	王立娜唐川徐婧. 全球碳基电子技术发展态势分析[J]. 世界科技研究与发展, 2021, 43(5): 547-558.
[7]	刘小平吕凤先. 2020年基础前沿交叉领域发展态势与趋势[J]. 世界科技研究与发展, 2021, 43(5): 575-592.
[8]	邢颖. 意大利国家级生命医学研究机构介绍[J]. 世界科技研究与发展, 2021, 43(2): 257-262.
[9]	魏韧郭世杰樊潇潇董璐李宜展李泽霞. 基于文献计量的天文学科发展态势分析[J]. 世界科技研究与发展, 2021, 43(2): 216-227.
[10]	李东巧谢华玲杨艳萍王文月张辉. 人造肉领域国际创新发展态势分析[J]. 世界科技研究与发展, 2021, 43(1): 43-53.
[11]	宋琪丁陈君吴晓燕陈方. DNA存储技术国际发展态势分析[J]. 世界科技研究与发展, 2021, 43(1): 24-42.
[12]	王立娜唐川徐婧. 未来芯片技术发展态势分析[J]. 世界科技研究与发展, 2020, 42(1): 47-56.
[13]	王立娜唐川田倩飞张娟徐婧. 全球量子计算发展态势分析[J]. 世界科技研究与发展, 2019, 41(6): 569-584.
[14]	魏凤段力萌邓阿妹. 基于专利的全球微藻DHA菌种选育技术发展态势[J]. 世界科技研究与发展, 2019, 41(5): 478-486.
[15]	周伯柱 Aditi GUPTA. 基于论文和专利分析的人工智能发展态势研究[J]. , 2019, 41(4): 380-391.

神经科学领域前沿发展态势研究：基于ESI研究前沿的深度挖掘分析

Study on Frontier Development Trendsin Neuroscience: An Analysis Based on Deep Mining of ESI Research Fronts

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

相关文章 15

编辑推荐