基于Web of Science平台Web of Science核心合集,采用文献计量学方法,以国内外发表于1997-2017年这一期间的青贮技术相关研究论文为检索对象,借助于Incites和Histcite等分析工具详细分析了不同国家、机构、作者、基金资助机构和期刊的...基于Web of Science平台Web of Science核心合集,采用文献计量学方法,以国内外发表于1997-2017年这一期间的青贮技术相关研究论文为检索对象,借助于Incites和Histcite等分析工具详细分析了不同国家、机构、作者、基金资助机构和期刊的论文数目及被引用次数、研究方向及文献引文历史等情况,从而整体展现了青贮加工领域的发展现状及趋势,为同领域研究者提供一定的数据参考。展开更多
以"Web of Science核心合集"的2759篇文献为数据源,应用科学计量工具CiteSpace绘制了中国基性岩研究的知识图谱,对该研究领域的发文特征、研究力量、知识基础、研究热点、趋势等进行了可视化分析。研究发现,中国基性岩研究可...以"Web of Science核心合集"的2759篇文献为数据源,应用科学计量工具CiteSpace绘制了中国基性岩研究的知识图谱,对该研究领域的发文特征、研究力量、知识基础、研究热点、趋势等进行了可视化分析。研究发现,中国基性岩研究可以概括为岩石类型、大地构造环境和研究区域特征三类方向,目前研究的热点包括:华北克拉通(North China Craton)、大火成岩省(large igneous province)、大陆地壳(continental crust)、中亚造山带(Central Asian Orogenic Belt)、构造演化(tectonic evolution)、岩石成因(petrogenesis)等,并且中国的研究机构已经形成了数个国际上成果突出的作者群,在该研究领域的发文量和影响力都处于领先,但是国际合作还需进一步加强。展开更多
目的通过文献计量学的方法分析预康复的研究现状及研究热点,为临床研究提供参考依据。方法检索Web of Science核心合集数据库2011-2020年间收录的关于预康复的相关文献。通过文献计量学引文分析的方法,利用Web of Science数据库文献分...目的通过文献计量学的方法分析预康复的研究现状及研究热点,为临床研究提供参考依据。方法检索Web of Science核心合集数据库2011-2020年间收录的关于预康复的相关文献。通过文献计量学引文分析的方法,利用Web of Science数据库文献分析功能,对当前预康复的研究现状和研究热点进行分析,了解其研究方向。结果共检索出889篇预康复相关文献,文献量呈逐年上升趋势,研究方向集于中心胸外科、腹部相关肿瘤、骨科等;美国发文量最多,发文量最多的机构是美国的United States Department of Health Human Services;发文量最多的学者是Carli F(加拿大),发文量最多的杂志是EJSO;全球预康复关注热点在预康复的对象及涉猎领域;内容及实施形式以及带来的临床效益。结论2011-2020年预康复研究逐年加强,美国的研究实力最强,全球研究热点集中在预康复的对象、内容及伴随的临床效益。展开更多
目的分析围产期姑息照护研究现状,为后续研究提供参考。方法检索Web of Science核心合集数据库自1975年1月至2020年12月发表的围产期姑息照护文献,对外部、内部特征分析。结果检索文献573篇,最早发表于1993年,发文量首位国家为美国,期...目的分析围产期姑息照护研究现状,为后续研究提供参考。方法检索Web of Science核心合集数据库自1975年1月至2020年12月发表的围产期姑息照护文献,对外部、内部特征分析。结果检索文献573篇,最早发表于1993年,发文量首位国家为美国,期刊为《Advances in Neonatal Care》,作者为Charlotte Wool。结论围产期姑息照护研究正逐渐成为学术热点,我国在该领域发展仍需进一步探索。展开更多
Purpose:In this paper,we use author clustering based on journal coupling(i.e.,shared academic journals)to determine researchers who have the same scientific interests and similar conceptual frameworks.The basic assump...Purpose:In this paper,we use author clustering based on journal coupling(i.e.,shared academic journals)to determine researchers who have the same scientific interests and similar conceptual frameworks.The basic assumption is that authors who publish in the same academic journals are more likely to share similar conceptual frameworks and interests than those who never publish in the same venues.Therefore,they are more likely to be part of the same invisible college(i.e.,authors in this subgroup contribute materially to research on the same topic and often publish their work in similar publication venues).Design/methodology/approach:Test in a controlled exercise the grouping of authors based on journal coupling to determine invisible colleges in a research field using a case study of 302 authors who had published in the Information Science and Library Science(IS&LS)category of the Web of Science Core Collection.For each author,we retrieved all the scientific journals in which this author had published his/her articles.We then used the cosine measure to calculate the similarity between authors(both first and second order).Findings:In this paper,using journal coupling of IS&LS authors,we found four main invisible colleges:“Information Systems”,“Business and Information Management”,“Quantitative Information Science”and“Library Science.”The main journals that determine the existence of these invisible colleges were Inform Syst Res,Inform Syst J,J Bus Res,J Knowl Manage,J Informetr,Pro Int Conf Sci Inf,Int J Geogr Inf Sci,J Am Med Inform Assn,and Learn Publ.However,the main journals that demonstrate that IS&LS determine a field were J Am Soc Inf Sci Tec/J Assoc Inf Sci Tech,Scientometrics,Inform Process Manag,and J Inf Sci.Research limitations:The results shown in this article are from a controlled exercise.The analysis performed using journal coupling excludes books,book chapters,and conference papers.In this article,only academic journals were used for the representation of research results.Practical implications:Our results may be of interest to IS&LS scholars.This is because these results provide a new lens for grouping authors,making use of the authors’journal publication profile and journal coupling.Furthermore,extending our approach to the study of the structure of other disciplines would possibly be of interest to historians of science as well as scientometricians.Originality/value:This is a novel approach based on journal coupling to determine authors who are most likely to be part of the same invisible college.展开更多
文摘基于Web of Science平台Web of Science核心合集,采用文献计量学方法,以国内外发表于1997-2017年这一期间的青贮技术相关研究论文为检索对象,借助于Incites和Histcite等分析工具详细分析了不同国家、机构、作者、基金资助机构和期刊的论文数目及被引用次数、研究方向及文献引文历史等情况,从而整体展现了青贮加工领域的发展现状及趋势,为同领域研究者提供一定的数据参考。
文摘以"Web of Science核心合集"的2759篇文献为数据源,应用科学计量工具CiteSpace绘制了中国基性岩研究的知识图谱,对该研究领域的发文特征、研究力量、知识基础、研究热点、趋势等进行了可视化分析。研究发现,中国基性岩研究可以概括为岩石类型、大地构造环境和研究区域特征三类方向,目前研究的热点包括:华北克拉通(North China Craton)、大火成岩省(large igneous province)、大陆地壳(continental crust)、中亚造山带(Central Asian Orogenic Belt)、构造演化(tectonic evolution)、岩石成因(petrogenesis)等,并且中国的研究机构已经形成了数个国际上成果突出的作者群,在该研究领域的发文量和影响力都处于领先,但是国际合作还需进一步加强。
文摘目的通过文献计量学的方法分析预康复的研究现状及研究热点,为临床研究提供参考依据。方法检索Web of Science核心合集数据库2011-2020年间收录的关于预康复的相关文献。通过文献计量学引文分析的方法,利用Web of Science数据库文献分析功能,对当前预康复的研究现状和研究热点进行分析,了解其研究方向。结果共检索出889篇预康复相关文献,文献量呈逐年上升趋势,研究方向集于中心胸外科、腹部相关肿瘤、骨科等;美国发文量最多,发文量最多的机构是美国的United States Department of Health Human Services;发文量最多的学者是Carli F(加拿大),发文量最多的杂志是EJSO;全球预康复关注热点在预康复的对象及涉猎领域;内容及实施形式以及带来的临床效益。结论2011-2020年预康复研究逐年加强,美国的研究实力最强,全球研究热点集中在预康复的对象、内容及伴随的临床效益。
文摘目的分析围产期姑息照护研究现状,为后续研究提供参考。方法检索Web of Science核心合集数据库自1975年1月至2020年12月发表的围产期姑息照护文献,对外部、内部特征分析。结果检索文献573篇,最早发表于1993年,发文量首位国家为美国,期刊为《Advances in Neonatal Care》,作者为Charlotte Wool。结论围产期姑息照护研究正逐渐成为学术热点,我国在该领域发展仍需进一步探索。
文摘Purpose:In this paper,we use author clustering based on journal coupling(i.e.,shared academic journals)to determine researchers who have the same scientific interests and similar conceptual frameworks.The basic assumption is that authors who publish in the same academic journals are more likely to share similar conceptual frameworks and interests than those who never publish in the same venues.Therefore,they are more likely to be part of the same invisible college(i.e.,authors in this subgroup contribute materially to research on the same topic and often publish their work in similar publication venues).Design/methodology/approach:Test in a controlled exercise the grouping of authors based on journal coupling to determine invisible colleges in a research field using a case study of 302 authors who had published in the Information Science and Library Science(IS&LS)category of the Web of Science Core Collection.For each author,we retrieved all the scientific journals in which this author had published his/her articles.We then used the cosine measure to calculate the similarity between authors(both first and second order).Findings:In this paper,using journal coupling of IS&LS authors,we found four main invisible colleges:“Information Systems”,“Business and Information Management”,“Quantitative Information Science”and“Library Science.”The main journals that determine the existence of these invisible colleges were Inform Syst Res,Inform Syst J,J Bus Res,J Knowl Manage,J Informetr,Pro Int Conf Sci Inf,Int J Geogr Inf Sci,J Am Med Inform Assn,and Learn Publ.However,the main journals that demonstrate that IS&LS determine a field were J Am Soc Inf Sci Tec/J Assoc Inf Sci Tech,Scientometrics,Inform Process Manag,and J Inf Sci.Research limitations:The results shown in this article are from a controlled exercise.The analysis performed using journal coupling excludes books,book chapters,and conference papers.In this article,only academic journals were used for the representation of research results.Practical implications:Our results may be of interest to IS&LS scholars.This is because these results provide a new lens for grouping authors,making use of the authors’journal publication profile and journal coupling.Furthermore,extending our approach to the study of the structure of other disciplines would possibly be of interest to historians of science as well as scientometricians.Originality/value:This is a novel approach based on journal coupling to determine authors who are most likely to be part of the same invisible college.
