Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends a...Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.展开更多
针对传统建筑科学分析方法对工程领域研究存在的局限性,引入科学知识图谱及大数据计量等人工智能方法,借助可视化软件Citespace,检索Web of Science(WOS)核心合集数据库,得到2007~2022年主题为劈裂注浆的文献709篇,对发文总量、学科归...针对传统建筑科学分析方法对工程领域研究存在的局限性,引入科学知识图谱及大数据计量等人工智能方法,借助可视化软件Citespace,检索Web of Science(WOS)核心合集数据库,得到2007~2022年主题为劈裂注浆的文献709篇,对发文总量、学科归属、期刊分布、核心作者、区域合作、关键词和被引文献等方面做科学知识图谱分析。通过区域合作关系图谱的寻径,理清现阶段国际合作的格局,指出中国未来国际合作的主要任务。依据成果数量和突现时间,评析贡献较大的代表性作者。提取318个研究关键词,以发文频次和中心性为导向,筛选精炼了现阶段研究热点。从10个聚类的特性分组出发,展示了理论研究、应用实践和数值模拟的发展脉络,明确了研究的前沿方向。排列10条聚类发展时间线,精炼了注浆效率和封堵效率两条热门主线,同时提示了较难取得研究成果的线路。通过聚焦关键词的时区分布态势,总结热点演进的两个规律,并预测今后两年新热点与2017年研究成果之间的潜在关联。根据文献共被引关系发生的时间,对比4组年度切片的变化,评价了学科知识基础的发展脉络和未来走向。结果表明:科学知识图谱作为人工智能分析方法,能总结分析劈裂注浆近年来的研究热点,并可以预测劈裂注浆在未来阶段的学术研究发展态势。展开更多
背景:大脑的代谢废物清除功能对于维持神经稳态极为关键,代谢废物积累导致的神经稳态失衡是许多中枢神经系统疾病的共同病理学特征。近年来,围绕胶质淋巴系统的研究逐渐成为神经系统领域的研究热点。目的:旨在通过构建胶质淋巴系统研究...背景:大脑的代谢废物清除功能对于维持神经稳态极为关键,代谢废物积累导致的神经稳态失衡是许多中枢神经系统疾病的共同病理学特征。近年来,围绕胶质淋巴系统的研究逐渐成为神经系统领域的研究热点。目的:旨在通过构建胶质淋巴系统研究的知识图谱,可视化地分析该领域的研究现状、热点及其未来的发展趋势。方法:采用Cite Space、VOSviewer软件及R语言环境下的Bibliometrix工具包,对2012年1月至2024年3月Web of Science核心合集数据库中与胶质淋巴系统相关的原始文献进行深入可视化分析,分析内容包括作者、机构、国家、期刊、关键词和共被引文献等。结果与结论:研究共纳入687篇相关文章,该领域发文量逐年增长,近3年呈现爆发性增长趋势;该研究领域发文量第一的国家、机构、作者分别是美国、美国罗切斯特大学和罗切斯特大学的Maiken Nedergaard教授,发文量第一的期刊是《JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM》,高频、高中心性关键词主要围绕脑脊液流体动力学等作用机制、阿尔茨海默症等神经系统疾病、扩散张量成像等影像学技术等方面,共被引频次最高的文献是一篇胶质淋巴系统的经典综述论文。上述结果表明,胶质淋巴系统的研究是一个新兴而活跃的领域,目前已受到国内外的广泛关注并逐渐从理论研究向临床实践扩展。展开更多
基金supported by the National Natural Science Foundation of China,No.81471308(to JL)the Stem Cell Clinical Research Project in China,No.CMR-20161129-1003(to JL)the Innovation Technology Funding of Dalian in China,No.2018J11CY025(to JL)
文摘Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.
文摘针对传统建筑科学分析方法对工程领域研究存在的局限性,引入科学知识图谱及大数据计量等人工智能方法,借助可视化软件Citespace,检索Web of Science(WOS)核心合集数据库,得到2007~2022年主题为劈裂注浆的文献709篇,对发文总量、学科归属、期刊分布、核心作者、区域合作、关键词和被引文献等方面做科学知识图谱分析。通过区域合作关系图谱的寻径,理清现阶段国际合作的格局,指出中国未来国际合作的主要任务。依据成果数量和突现时间,评析贡献较大的代表性作者。提取318个研究关键词,以发文频次和中心性为导向,筛选精炼了现阶段研究热点。从10个聚类的特性分组出发,展示了理论研究、应用实践和数值模拟的发展脉络,明确了研究的前沿方向。排列10条聚类发展时间线,精炼了注浆效率和封堵效率两条热门主线,同时提示了较难取得研究成果的线路。通过聚焦关键词的时区分布态势,总结热点演进的两个规律,并预测今后两年新热点与2017年研究成果之间的潜在关联。根据文献共被引关系发生的时间,对比4组年度切片的变化,评价了学科知识基础的发展脉络和未来走向。结果表明:科学知识图谱作为人工智能分析方法,能总结分析劈裂注浆近年来的研究热点,并可以预测劈裂注浆在未来阶段的学术研究发展态势。
文摘背景:大脑的代谢废物清除功能对于维持神经稳态极为关键,代谢废物积累导致的神经稳态失衡是许多中枢神经系统疾病的共同病理学特征。近年来,围绕胶质淋巴系统的研究逐渐成为神经系统领域的研究热点。目的:旨在通过构建胶质淋巴系统研究的知识图谱,可视化地分析该领域的研究现状、热点及其未来的发展趋势。方法:采用Cite Space、VOSviewer软件及R语言环境下的Bibliometrix工具包,对2012年1月至2024年3月Web of Science核心合集数据库中与胶质淋巴系统相关的原始文献进行深入可视化分析,分析内容包括作者、机构、国家、期刊、关键词和共被引文献等。结果与结论:研究共纳入687篇相关文章,该领域发文量逐年增长,近3年呈现爆发性增长趋势;该研究领域发文量第一的国家、机构、作者分别是美国、美国罗切斯特大学和罗切斯特大学的Maiken Nedergaard教授,发文量第一的期刊是《JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM》,高频、高中心性关键词主要围绕脑脊液流体动力学等作用机制、阿尔茨海默症等神经系统疾病、扩散张量成像等影像学技术等方面,共被引频次最高的文献是一篇胶质淋巴系统的经典综述论文。上述结果表明,胶质淋巴系统的研究是一个新兴而活跃的领域,目前已受到国内外的广泛关注并逐渐从理论研究向临床实践扩展。
