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
With the SPSS and the help of factor method and hierarchical clustered method,journal articles on digital information resources(DIR) from CNKI in the past ten years are analyzed with a co-word analytical method in thi...With the SPSS and the help of factor method and hierarchical clustered method,journal articles on digital information resources(DIR) from CNKI in the past ten years are analyzed with a co-word analytical method in this paper. The hot issues of studies on DIR and the relationship between those subjects are analyzed in this investigation as well.展开更多
Co-word networks are constructed with author-provided keywords in academic publications and their relations of co-occurrence.As special form of scientific knowledge networks,they represent the cognitive structure of s...Co-word networks are constructed with author-provided keywords in academic publications and their relations of co-occurrence.As special form of scientific knowledge networks,they represent the cognitive structure of scientific literature.This paper analyzes the complex structure of a co-word network based on 8,190 author-provided keywords extracted from 3,651 papers in five Chinese core journals in the field of management science.Small-world and scale-free phenomena are found in this network.A large-scale co-word network graph,which consists of one major giant component and many small isolated components,has been generated with the GUESS software.The dynamic growth of keywords and keyword co-occurrence relationships are described with four new informetrics measures.The results indicate that existing concepts always serve as the intellectual base of new ideas as represented by keywords.展开更多
Objective:The aim of this study is to discover research status and hotspots of economic evaluation(EE)in nursing area using co-word cluster analysis.Methods:Medical Subject Heading(MeSH)term“cost–benefit analysis”w...Objective:The aim of this study is to discover research status and hotspots of economic evaluation(EE)in nursing area using co-word cluster analysis.Methods:Medical Subject Heading(MeSH)term“cost–benefit analysis”was searched in PubMed and nursing journals were limited by the function of filter.The information of author,country,year,journal,and keywords of collected paper was extracted and exported to Bicomb 2.0 system,where high-frequency terms and other data could be further mined.SPSS 19.0 was used for cluster analysis to generate dendrogram.Results:In all,3,020 articles were found and 10,573 MeSH terms were detected;among them,1,909 were MeSH major topics and generated 42 high-frequency terms.The consequence of dendrogram showed seven clusters,representing seven research hotspots:skin administration,infection prevention,education program,nurse education and management,EE research,neoplasm patient,and extension of nurse function.Conclusions:Nursing EE research involved multiple aspects in nursing area,which is an important indicator for decision-making.Although the number of papers is increasing,the quality of study is not promising.Therefore,further study may be required to detect nurses’knowledge of economic analysis method and their attitude to apply it into nursing research.More nursing economics course could carry out in nursing school or hospitals.展开更多
Background:The rise of artificial intelligence in healthcare,particularly the development of large language models like ChatGPT,has opened new avenues for innovation in medical fields,including plastic surgery.ChatGPT...Background:The rise of artificial intelligence in healthcare,particularly the development of large language models like ChatGPT,has opened new avenues for innovation in medical fields,including plastic surgery.ChatGPT offers potential applications in patient education,surgical planning,and decision-making support,making it an important research subject.However,there has been limited investigation into its impact on plastic surgery.The objective of this study was to investigate the progress of research on ChatGPT and plastic surgery,focusing on key contributors and emerging topics within the field.Methods:Five distinct search strategies were employed to analyze relevant publications from the Scopus database.Results:The analysis identified and presented the top authors,universities,countries,sponsors,and journals(within each search strategy).The co-authorship networks of authors,universities,and countries are graphically presented.The authors’performance was depicted by various indicators,such as total publications,citations,hindex,g-index,and m-index.A co-word analysis revealed the focus of the papers,which were presented in 15 groups.This multifaceted approach provides a detailed understanding of key themes in the field.Conclusion:This report offers a comprehensive overview of the current state of research at the intersection of ChatGPT and plastic surgery.展开更多
目的了解国外社区卫生服务设计研究热点和演变路径,为我国服务设计介入社区卫生服务质量改进提供理论指导和建议。方法系统检索Web of Science核心合集、PubMed、Embase、Scopus、Science Direct、ProQuest、CINAHL等7个数据库中社区卫...目的了解国外社区卫生服务设计研究热点和演变路径,为我国服务设计介入社区卫生服务质量改进提供理论指导和建议。方法系统检索Web of Science核心合集、PubMed、Embase、Scopus、Science Direct、ProQuest、CINAHL等7个数据库中社区卫生和服务设计相关文献,使用BICOMB软件提取关键词,并构建词篇矩阵和共现矩阵,使用SPSS进行聚类分析和多维尺度分析,使用UCINET进行社会网络分析。结果共检索相关文献1379篇,系统聚类结果表明当前研究主要围绕社区卫生服务整合、包容性服务设计与质量改进、卫生公平、多方参与的社区卫生服务数字化四大热点议题展开;多维尺度分析结果表明四大议题处于不同研究地位与发展阶段;社会网络分析结果表明当前研究呈现出以初级卫生保健、服务交付、患者参与等关键词为核心的多层次网络结构。结论未来国内研究应围绕数字赋能和人本导向的社区卫生服务整合创新、本土化实践与方法开发的社区包容性服务设计深化、公平导向与协同治理的社区卫生数字生态建构三方面展开。展开更多
为全面厘清国外煤矿风险预控管理领域的研究热点及前沿趋势,采用Ucinet和VOSViewer软件对Web of Science核心数据库和Scopus数据库中1 274篇外文文献进行可视化分析,进而揭示煤矿风险管控的主题演变脉络并提出未来展望。研究结果表明:...为全面厘清国外煤矿风险预控管理领域的研究热点及前沿趋势,采用Ucinet和VOSViewer软件对Web of Science核心数据库和Scopus数据库中1 274篇外文文献进行可视化分析,进而揭示煤矿风险管控的主题演变脉络并提出未来展望。研究结果表明:国外煤矿风险预控管理相关研究在时间分布上经历了“探索-成长-爆发”3个阶段,且发文量在2014年后呈迅猛上升趋势;从风险管理的内涵角度对热点词进行归纳总结,研究内容呈现出主体识别、评估过程和控制手段三大主题;未来研究需要重点关注大数据技术同危险源监测、系统效率提升以及长效机制构建等方面相结合的问题。研究结果可为我国煤矿安全领域未来双重预防管理体系建设提供多方信息支持。展开更多
在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件...在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件进行知识图谱分析,综合运用关键词共现、共词聚类、战略坐标图以及文献共引聚类与突现检测等方法,系统揭示了管理学视域下数字韧性研究的热点主题与演进趋势。研究发现:组织数字韧性研究的热点涵盖概念界定与测量方法、多层次影响因素及其双元效应等主题,并呈现出从“危机应对”向“韧性预建”的范式转变;同时,组织数字韧性研究形成了以“组织数字韧性”和“供应链数字韧性”为核心的知识结构特征,研究脉络呈现出从组织内部的静态能力建设,逐步扩展至供应链层面的动态适应与协同,并延伸至生态系统层面共生演化的演进趋势。未来需从以下方面取得突破:一是整合碎片化的理论内涵,构建技术—组织—环境协同的评估体系;二是深化影响因素研究,从个体、组织与环境等多维度考察其作用机制;三是拓展应用场景,量化数字韧性在新兴场景中的差异化效应;四是强化跨学科交叉,构建系统性框架以弥合理论创新与实践应用之间的落差。展开更多
Background: Peripheral nerve regeneration is a critical research area with significant implications for neurology,neurosurgery,and regenerative medicine.A bibliometric analysis was conducted to provide a structured ov...Background: Peripheral nerve regeneration is a critical research area with significant implications for neurology,neurosurgery,and regenerative medicine.A bibliometric analysis was conducted to provide a structured overview of research trends,intellectual impact,and evolving themes in peripheral nerve regeneration.This study aimed to identify the most influential research articles on peripheral nerve regeneration;analyze keyword trends,thematic evolution,and co-word structures;assess the contributions of top authors,universities,and countries;and examine collaboration networks and research dynamics.Methods: A systematic bibliometric approach was employed using two search strategies.The first strategy involved searching within the title,abstract,and keyword fields,yielding 15 317 papers,whereas the second strategy was restricted to searching titles only,retrieving 3 531 papers.From these,the 100 most cited papers were selected for analysis.A thematic analysis was conducted using co-word clustering.The leading contributors were ranked according to the number of publications,citations,h-index,g-index,and m-index.Results: The bibliometric analysis provided several key insights.Keyword analysis using bi-and tri-gram techniques revealed the dominant research themes within the field.The top contributors,including authors,universities,and countries,were ranked based on their productivity and citation impact.Collaboration networks were mapped at the author,institutional,and country levels,highlighting key partnerships and global research interactions.Thematic analysis classified research into seven major domains: neural regeneration and repair;cellular and molecular biology;biomaterials and tissue engineering;experimental studies and statistical analyses;functional and therapeutic aspects;neuropathic pain and peripheral nerve disorders;and Schwann cell and cellular responses.Additionally,the ten most influential papers were reviewed in detail to understand their contributions to the field.Conclusion: This study provides a comprehensive and structured overview of peripheral nerve regeneration research.These findings offer valuable insights into the intellectual foundation of the field by identifying key contributors,research trends,and collaboration patterns.The results serve as a guide for future research,helping researchers to navigate the evolving landscape of peripheral nerve regeneration.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.
基金supported by the Fund for Philosophy and Social Sciences,Ministry of Education of China(Grant No.05JZD00024)
文摘With the SPSS and the help of factor method and hierarchical clustered method,journal articles on digital information resources(DIR) from CNKI in the past ten years are analyzed with a co-word analytical method in this paper. The hot issues of studies on DIR and the relationship between those subjects are analyzed in this investigation as well.
基金supported by the National Natural Science Foundation of China(Grant Nos.71003078and 70833005)sponsored by SRF for ROCS and SEM
文摘Co-word networks are constructed with author-provided keywords in academic publications and their relations of co-occurrence.As special form of scientific knowledge networks,they represent the cognitive structure of scientific literature.This paper analyzes the complex structure of a co-word network based on 8,190 author-provided keywords extracted from 3,651 papers in five Chinese core journals in the field of management science.Small-world and scale-free phenomena are found in this network.A large-scale co-word network graph,which consists of one major giant component and many small isolated components,has been generated with the GUESS software.The dynamic growth of keywords and keyword co-occurrence relationships are described with four new informetrics measures.The results indicate that existing concepts always serve as the intellectual base of new ideas as represented by keywords.
文摘Objective:The aim of this study is to discover research status and hotspots of economic evaluation(EE)in nursing area using co-word cluster analysis.Methods:Medical Subject Heading(MeSH)term“cost–benefit analysis”was searched in PubMed and nursing journals were limited by the function of filter.The information of author,country,year,journal,and keywords of collected paper was extracted and exported to Bicomb 2.0 system,where high-frequency terms and other data could be further mined.SPSS 19.0 was used for cluster analysis to generate dendrogram.Results:In all,3,020 articles were found and 10,573 MeSH terms were detected;among them,1,909 were MeSH major topics and generated 42 high-frequency terms.The consequence of dendrogram showed seven clusters,representing seven research hotspots:skin administration,infection prevention,education program,nurse education and management,EE research,neoplasm patient,and extension of nurse function.Conclusions:Nursing EE research involved multiple aspects in nursing area,which is an important indicator for decision-making.Although the number of papers is increasing,the quality of study is not promising.Therefore,further study may be required to detect nurses’knowledge of economic analysis method and their attitude to apply it into nursing research.More nursing economics course could carry out in nursing school or hospitals.
文摘Background:The rise of artificial intelligence in healthcare,particularly the development of large language models like ChatGPT,has opened new avenues for innovation in medical fields,including plastic surgery.ChatGPT offers potential applications in patient education,surgical planning,and decision-making support,making it an important research subject.However,there has been limited investigation into its impact on plastic surgery.The objective of this study was to investigate the progress of research on ChatGPT and plastic surgery,focusing on key contributors and emerging topics within the field.Methods:Five distinct search strategies were employed to analyze relevant publications from the Scopus database.Results:The analysis identified and presented the top authors,universities,countries,sponsors,and journals(within each search strategy).The co-authorship networks of authors,universities,and countries are graphically presented.The authors’performance was depicted by various indicators,such as total publications,citations,hindex,g-index,and m-index.A co-word analysis revealed the focus of the papers,which were presented in 15 groups.This multifaceted approach provides a detailed understanding of key themes in the field.Conclusion:This report offers a comprehensive overview of the current state of research at the intersection of ChatGPT and plastic surgery.
文摘目的了解国外社区卫生服务设计研究热点和演变路径,为我国服务设计介入社区卫生服务质量改进提供理论指导和建议。方法系统检索Web of Science核心合集、PubMed、Embase、Scopus、Science Direct、ProQuest、CINAHL等7个数据库中社区卫生和服务设计相关文献,使用BICOMB软件提取关键词,并构建词篇矩阵和共现矩阵,使用SPSS进行聚类分析和多维尺度分析,使用UCINET进行社会网络分析。结果共检索相关文献1379篇,系统聚类结果表明当前研究主要围绕社区卫生服务整合、包容性服务设计与质量改进、卫生公平、多方参与的社区卫生服务数字化四大热点议题展开;多维尺度分析结果表明四大议题处于不同研究地位与发展阶段;社会网络分析结果表明当前研究呈现出以初级卫生保健、服务交付、患者参与等关键词为核心的多层次网络结构。结论未来国内研究应围绕数字赋能和人本导向的社区卫生服务整合创新、本土化实践与方法开发的社区包容性服务设计深化、公平导向与协同治理的社区卫生数字生态建构三方面展开。
文摘为全面厘清国外煤矿风险预控管理领域的研究热点及前沿趋势,采用Ucinet和VOSViewer软件对Web of Science核心数据库和Scopus数据库中1 274篇外文文献进行可视化分析,进而揭示煤矿风险管控的主题演变脉络并提出未来展望。研究结果表明:国外煤矿风险预控管理相关研究在时间分布上经历了“探索-成长-爆发”3个阶段,且发文量在2014年后呈迅猛上升趋势;从风险管理的内涵角度对热点词进行归纳总结,研究内容呈现出主体识别、评估过程和控制手段三大主题;未来研究需要重点关注大数据技术同危险源监测、系统效率提升以及长效机制构建等方面相结合的问题。研究结果可为我国煤矿安全领域未来双重预防管理体系建设提供多方信息支持。
文摘在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件进行知识图谱分析,综合运用关键词共现、共词聚类、战略坐标图以及文献共引聚类与突现检测等方法,系统揭示了管理学视域下数字韧性研究的热点主题与演进趋势。研究发现:组织数字韧性研究的热点涵盖概念界定与测量方法、多层次影响因素及其双元效应等主题,并呈现出从“危机应对”向“韧性预建”的范式转变;同时,组织数字韧性研究形成了以“组织数字韧性”和“供应链数字韧性”为核心的知识结构特征,研究脉络呈现出从组织内部的静态能力建设,逐步扩展至供应链层面的动态适应与协同,并延伸至生态系统层面共生演化的演进趋势。未来需从以下方面取得突破:一是整合碎片化的理论内涵,构建技术—组织—环境协同的评估体系;二是深化影响因素研究,从个体、组织与环境等多维度考察其作用机制;三是拓展应用场景,量化数字韧性在新兴场景中的差异化效应;四是强化跨学科交叉,构建系统性框架以弥合理论创新与实践应用之间的落差。
文摘Background: Peripheral nerve regeneration is a critical research area with significant implications for neurology,neurosurgery,and regenerative medicine.A bibliometric analysis was conducted to provide a structured overview of research trends,intellectual impact,and evolving themes in peripheral nerve regeneration.This study aimed to identify the most influential research articles on peripheral nerve regeneration;analyze keyword trends,thematic evolution,and co-word structures;assess the contributions of top authors,universities,and countries;and examine collaboration networks and research dynamics.Methods: A systematic bibliometric approach was employed using two search strategies.The first strategy involved searching within the title,abstract,and keyword fields,yielding 15 317 papers,whereas the second strategy was restricted to searching titles only,retrieving 3 531 papers.From these,the 100 most cited papers were selected for analysis.A thematic analysis was conducted using co-word clustering.The leading contributors were ranked according to the number of publications,citations,h-index,g-index,and m-index.Results: The bibliometric analysis provided several key insights.Keyword analysis using bi-and tri-gram techniques revealed the dominant research themes within the field.The top contributors,including authors,universities,and countries,were ranked based on their productivity and citation impact.Collaboration networks were mapped at the author,institutional,and country levels,highlighting key partnerships and global research interactions.Thematic analysis classified research into seven major domains: neural regeneration and repair;cellular and molecular biology;biomaterials and tissue engineering;experimental studies and statistical analyses;functional and therapeutic aspects;neuropathic pain and peripheral nerve disorders;and Schwann cell and cellular responses.Additionally,the ten most influential papers were reviewed in detail to understand their contributions to the field.Conclusion: This study provides a comprehensive and structured overview of peripheral nerve regeneration research.These findings offer valuable insights into the intellectual foundation of the field by identifying key contributors,research trends,and collaboration patterns.The results serve as a guide for future research,helping researchers to navigate the evolving landscape of peripheral nerve regeneration.
