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
Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over t...Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over time have transformed the field,making it essential to assess the evolution of research trends.This study performed a bibliometric analysis of facelift research by examining the top 50 most cited publications to evaluate their contributions,thematic evolution,and collaborative networks.Methods:The Scopus database was used to identify relevant publications.A total of 50 documents were selected,comprising 47 articles and 3 reviews published across 16 academic sources.The inclusion criteria focused on publications with substantial relevance to facelift research;this ensured comprehensive coverage of the topic.Key performance indicators(for the authors)such as the number of papers,total citations,h-index,g-index,m-index,HG composite,and Q2 index were calculated.Citation analysis and collaborative network mapping were conducted to identify the leading contributors,including authors,universities,countries,and sources.Results:The findings indicated an annual growth rate of 1.34%,with an average document age of 29.4 years and an average citation count per document of 134.9.The analysis identified the top authors and their collaborative networks,along with key contributions from various universities,countries,and sources.The thematic evolution of facelift research was examined across these 50 papers;this revealed important trends and shifts within the field.Conclusion:This bibliometric analysis offers valuable insights into the development and influence of facelift research over a 52-year span.It highlights significant contributors and outlines thematic shifts,providing directions for future research and collaboration in this field.展开更多
Purpose:The main goal of this study is to discover the scientific evolution of Cancer-Related Symptoms in Complementary and Alternative Medicine research area,analyzing the articles indexed in the Web of Science datab...Purpose:The main goal of this study is to discover the scientific evolution of Cancer-Related Symptoms in Complementary and Alternative Medicine research area,analyzing the articles indexed in the Web of Science database from 1980 to 2013.Design/Methodology/Approach:A co-word science mapping analysis is performed under a longitudinal framework(1980 to 2013).The documental corpus is divided into two subperiods,1980–2008 and 2009–2013.Thus,the performance and impact rates,and conceptual evolution of the research field are shown.Findings:According to the results,the co-word analysis allows us to identify 12 main thematic areas in this emerging research field:anxiety,survivors and palliative care,meditation,treatment,symptoms and cancer types,postmenopause,cancer pain,low back pain,herbal medicine,children,depression and insomnia,inflammation mediators,and lymphedema.The different research lines are identified according to the main thematic areas,centered fundamentally on anxiety and suffering prevention.The scientific community can use this information to identify where the interest is focused and make decisions in different ways.Research limitation:Several limitations can be addressed:1)some of the Complementary and Alternative Medicine therapies may not have been included;2)only the documents indexed in Web of Science are analyzed;and 3)the thematic areas detected could change if another dataset was considered.Practical implications:The results obtained in the present study could be considered as an evidence-based framework in which future studies could be built.Originality/value:Currently,there are no studies that show the thematic evolution of this research area.展开更多
Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s arti...Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.展开更多
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.
文摘Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over time have transformed the field,making it essential to assess the evolution of research trends.This study performed a bibliometric analysis of facelift research by examining the top 50 most cited publications to evaluate their contributions,thematic evolution,and collaborative networks.Methods:The Scopus database was used to identify relevant publications.A total of 50 documents were selected,comprising 47 articles and 3 reviews published across 16 academic sources.The inclusion criteria focused on publications with substantial relevance to facelift research;this ensured comprehensive coverage of the topic.Key performance indicators(for the authors)such as the number of papers,total citations,h-index,g-index,m-index,HG composite,and Q2 index were calculated.Citation analysis and collaborative network mapping were conducted to identify the leading contributors,including authors,universities,countries,and sources.Results:The findings indicated an annual growth rate of 1.34%,with an average document age of 29.4 years and an average citation count per document of 134.9.The analysis identified the top authors and their collaborative networks,along with key contributions from various universities,countries,and sources.The thematic evolution of facelift research was examined across these 50 papers;this revealed important trends and shifts within the field.Conclusion:This bibliometric analysis offers valuable insights into the development and influence of facelift research over a 52-year span.It highlights significant contributors and outlines thematic shifts,providing directions for future research and collaboration in this field.
基金supported by the Andalusian Excellence Project TIC-5991Spanish National Project TIN2016-75850-RJ.A.Moral-Munoz held an FPU scholarship (AP2012-1789) from the Spanish Ministry of Education
文摘Purpose:The main goal of this study is to discover the scientific evolution of Cancer-Related Symptoms in Complementary and Alternative Medicine research area,analyzing the articles indexed in the Web of Science database from 1980 to 2013.Design/Methodology/Approach:A co-word science mapping analysis is performed under a longitudinal framework(1980 to 2013).The documental corpus is divided into two subperiods,1980–2008 and 2009–2013.Thus,the performance and impact rates,and conceptual evolution of the research field are shown.Findings:According to the results,the co-word analysis allows us to identify 12 main thematic areas in this emerging research field:anxiety,survivors and palliative care,meditation,treatment,symptoms and cancer types,postmenopause,cancer pain,low back pain,herbal medicine,children,depression and insomnia,inflammation mediators,and lymphedema.The different research lines are identified according to the main thematic areas,centered fundamentally on anxiety and suffering prevention.The scientific community can use this information to identify where the interest is focused and make decisions in different ways.Research limitation:Several limitations can be addressed:1)some of the Complementary and Alternative Medicine therapies may not have been included;2)only the documents indexed in Web of Science are analyzed;and 3)the thematic areas detected could change if another dataset was considered.Practical implications:The results obtained in the present study could be considered as an evidence-based framework in which future studies could be built.Originality/value:Currently,there are no studies that show the thematic evolution of this research area.
基金supported by the National Social Science Foundation of China(Grant No.22BTQ089).
文摘Purpose:The transformative impact of disruptive technologies on the restructuring of the times has attracted widespread global attention.This study aims to analyze the characteristics and shortcomings of China’s artificial intelligence(AI)disruptive technology policy,and to put forward suggestions for optimizing China’s AI disruptive technology policy.Design/methodology/approach:Develop a three-dimensional analytical framework for“policy tools-policy actors-policy themes”and apply policy tools,social network analysis,and LDA topic model to conduct a comprehensive analysis of the utilization of policy tools,cooperative relationships among policy actors,and the trends in policy theme settings within China’s innovative AI technology policy.Findings:We find that the collaborative relationship among the policy actors of AI disruptive technology in China is insufficiently close.Marginal subjects exhibit low participation in the cooperation network and overly rely on central subjects,forming a“center-periphery”network structure.Policy tool usage is predominantly focused on supply and environmental types,with a severe inadequacy in demand-side policy tool utilization.Policy themes are diverse,encompassing topics such as“Intelligent Services”“Talent Cultivation”“Information Security”and“Technological Innovation”,which will remain focal points.Under the themes of“Intelligent Services”and“Intelligent Governance”,policy tool usage is relatively balanced,with close collaboration among policy entities.However,the theme of“AI Theoretical System”lacks a comprehensive understanding of tool usage and necessitates enhanced cooperation with other policy entities.Research limitations:The data sources and experimental scope are subject to certain limitations,potentially introducing biases and imperfections into the research results,necessitating further validation and refinement.Practical implications:The study introduces a three-dimensional analysis framework for disruptive technology policy texts,which is significant for formulating and enhancing disruptive technology policies.Originality/value:This study utilizes text mining and content analysis techniques to quantitatively analyze disruptive technology policy texts.It systematically evaluates China’s AI policies quantitatively,focusing on policy tools,policy actors,policy themes.The study uncovers the characteristics and deficiencies of current AI policies,offering recommendations for formulating and enhancing disruptive technology policies.
