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
基于Web of Science,利用社会网络分析等方法对国外社交网络(SNS)研究文献进行分析。结果表明:(1)国外社交网络研究一直关注的重点是:模型、身份、朋友、交流和互联网使用;(2)社交网络研究的热点领域是:用户接受、web2.0、企业2.0、社...基于Web of Science,利用社会网络分析等方法对国外社交网络(SNS)研究文献进行分析。结果表明:(1)国外社交网络研究一直关注的重点是:模型、身份、朋友、交流和互联网使用;(2)社交网络研究的热点领域是:用户接受、web2.0、企业2.0、社会资本、自尊、性别、隐私、社会网络分析、用户行为、以计算机为媒介的传播、自我呈现与自我表露、社交网络平台(Facebook、MySpace、Twitter)、社会化媒体等;(3)社交网络研究的前沿领域呈现出细分趋势,主要集中在健康、青少年与儿童、知识管理,以及社会化电子商务等方面。展开更多
本文首先对ISI Web of Knowledge数据库中收录的以社会网络分析(SNA)为主题的文献的时空分布进行了分析;然后利用信息可视化软件CiteSpace绘制出社会网络分析(SNA)的代表人物、代表作的知识图谱,并对其进行了分析;最后通过检测词频变动...本文首先对ISI Web of Knowledge数据库中收录的以社会网络分析(SNA)为主题的文献的时空分布进行了分析;然后利用信息可视化软件CiteSpace绘制出社会网络分析(SNA)的代表人物、代表作的知识图谱,并对其进行了分析;最后通过检测词频变动趋势显著的主题词确定出国际社会网络分析(SNA)研究的前沿领域和发展趋势,并绘制出国际视野下的社会网络分析(SNA)研究热点与研究前沿的知识图谱。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.
文摘基于Web of Science,利用社会网络分析等方法对国外社交网络(SNS)研究文献进行分析。结果表明:(1)国外社交网络研究一直关注的重点是:模型、身份、朋友、交流和互联网使用;(2)社交网络研究的热点领域是:用户接受、web2.0、企业2.0、社会资本、自尊、性别、隐私、社会网络分析、用户行为、以计算机为媒介的传播、自我呈现与自我表露、社交网络平台(Facebook、MySpace、Twitter)、社会化媒体等;(3)社交网络研究的前沿领域呈现出细分趋势,主要集中在健康、青少年与儿童、知识管理,以及社会化电子商务等方面。
文摘本文首先对ISI Web of Knowledge数据库中收录的以社会网络分析(SNA)为主题的文献的时空分布进行了分析;然后利用信息可视化软件CiteSpace绘制出社会网络分析(SNA)的代表人物、代表作的知识图谱,并对其进行了分析;最后通过检测词频变动趋势显著的主题词确定出国际社会网络分析(SNA)研究的前沿领域和发展趋势,并绘制出国际视野下的社会网络分析(SNA)研究热点与研究前沿的知识图谱。
