目的通过文献计量学方法对近十年Web of Science数据库中收录的法庭科学相关文献进行分析,为相关研究工作提供借鉴。方法使用主题、期刊和机构3种途径进行文献检索,通过Thomson Data Analyzer(TDA)、Ucinet和VOSviewer等工具分析相应文...目的通过文献计量学方法对近十年Web of Science数据库中收录的法庭科学相关文献进行分析,为相关研究工作提供借鉴。方法使用主题、期刊和机构3种途径进行文献检索,通过Thomson Data Analyzer(TDA)、Ucinet和VOSviewer等工具分析相应文献的年度分布、国家(地区)分布、机构分布、期刊分布和研究热点。结果近十年,相应文献共计49469篇。发文量呈逐年上升趋势。发文量前15的国家(地区)占发文总量的78.52%;中国发文量位列第5,但高被引文献所占比例位列第12;荷兰、瑞士和澳大利亚等国家(地区)综合影响力较高。中国合作国家(地区)主要包括美国、英国和德国等129个。圣玛丽大学法庭科学学院、悉尼大学和荷兰法医协会等综合影响力较高,相应文献发表在6357种期刊。根据领域高频词共现网络和高被引文献遴选出颅脑损伤、医疗卫生政策、评定量表和模型、医学影像学等研究热点。结论国际法庭科学领域SCI收录文献总数增速明显,我国成果影响力需大力提升;国际研究机构分散,我国研究力量需不断凝聚;国际领域研究热点广泛,我国高水平研究的国际参与度需继续提高。展开更多
为了解近五年图书情报学在SCI优质期刊中的研究主流及研究热点,提供借鉴及潜在研究方向,本研究提取Web of Science中2018年Journal Citation Reports排名靠前的期刊上发表的论文及其引文数据,应用“DEAN”数据清洗流程,借助CiteSpace软...为了解近五年图书情报学在SCI优质期刊中的研究主流及研究热点,提供借鉴及潜在研究方向,本研究提取Web of Science中2018年Journal Citation Reports排名靠前的期刊上发表的论文及其引文数据,应用“DEAN”数据清洗流程,借助CiteSpace软件进行分析并绘制可视化图谱,分别从发文机构、著者、研究热点等角度对国际图书情报学研究状态及成果进行分析识别,分析各聚类的代表文章,归纳领域主流研究热点。展开更多
为了解国际山羊整体发展态势,运用引文分析方法,以"山羊"为标题词进行检索,对1992—2019年期间Web of Science数据库中全球有关山羊研究论文产出,以及同一时期中国CNKI数据库中中文有关山羊研究重点论文产出,进行了国、内外...为了解国际山羊整体发展态势,运用引文分析方法,以"山羊"为标题词进行检索,对1992—2019年期间Web of Science数据库中全球有关山羊研究论文产出,以及同一时期中国CNKI数据库中中文有关山羊研究重点论文产出,进行了国、内外山羊研究论文全面解析。通过Web of Science平台共检索到SCI山羊论文18 329篇,其中国内文献1 934篇;CNKI中国期刊全文数据库中文论文7 271篇。将统计结果分成1992—1999年、2000—2009年和2010—2019年3个阶段进行动态分析,并运用Excel 2016、GraphPad Prism v5.01和VOSviewer软件进行可视化处理,发现中国在山羊研究领域内整体呈上升趋势,发展潜力较大,正在走向世界前列,但受限于领域内权威期刊较少、篇均被引频次较低。因此,我国应在注重文章数量提升的同时,增强研究的创新性与实用性,使得论文质量得以提升。此外,还要引导并鼓励国内期刊的国际化发展,使得我国山羊研究具有更大的国际话语权。展开更多
国际学术合作能够提高科研效率,推动知识创新,探讨国际合著论文中的国家贡献度,对反映国家领域影响力,提升国际合作态势具有重要意义。从数值和内容两个层面构建国际合著国家学术贡献度分析模型,以中国作为重点研究对象,以Web of Scienc...国际学术合作能够提高科研效率,推动知识创新,探讨国际合著论文中的国家贡献度,对反映国家领域影响力,提升国际合作态势具有重要意义。从数值和内容两个层面构建国际合著国家学术贡献度分析模型,以中国作为重点研究对象,以Web of Science为数据来源,通过构建国际合著网络,结合学术贡献度计算公式,分析近十年中国在Information Science&Library Science(图书情报学,以下简称ISLS)领域的学术贡献度,并以知识图谱的方式揭示中国学术参与主题的演化。结果表明:在数值方面,第一阶段中国学术贡献度较小,但第二阶段持续发力,成为国际合作中的后起之秀,学术贡献度仅次于美国;在内容方面,经历了从理论研究到技术创新的演进,参与的学术主题呈多元化和深入化趋势。展开更多
南大洋生物资源养护与区域治理一直为全球其他区域树立典范,而南极海洋保护区(Antarctic Marine ProtectedArea,AMPA)自提出以来便受到了全球学者的广泛关注。为了更为全面地了解AMPA的研究状况和热点问题,本研究以Web of Science核心...南大洋生物资源养护与区域治理一直为全球其他区域树立典范,而南极海洋保护区(Antarctic Marine ProtectedArea,AMPA)自提出以来便受到了全球学者的广泛关注。为了更为全面地了解AMPA的研究状况和热点问题,本研究以Web of Science核心数据库中有关AMPA的文献为样本,融合CNKI数据库相关信息,运用文献计量分析对1995年后AMPA研究状况进行了分析。结果表明,自2015年以来涉及AMPA的文献数量增速较快,研究学科交叉明显,发文主要集中于极地海洋及生物学领域。澳大利亚、美国等为开展AMPA研究较为突出的国家。基于文献共被引聚类分析可知,关于AMPA的研究涵盖8个类群,分别是生态系统管理、景观制图、长期管理、空间分布、潜在性影响、海洋生物多样性养护、预防性空间保护和无冰区等。主要研究方向为管理学、环境科学和生态学以及计算机信息技术等。基于突变检测结果显示,涉及AMPA研究的前沿热点方向包括管理学与AMPA研究的结合、环境科学与生态学研究的结合以及计算机信息技术与多年科考数据结合等。我国有关AMPA的研究主要集中在法律层面,今后需进一步加强国际前沿热点方面的研究,从而为AMPA的推进提供中国智慧,甚至中国方案。展开更多
论文以Web of Science数据库为数据采集的对象,收集了世界范围内有关阅读评价研究方面的核心期刊论文千余篇,并通过文献计量学方法对这些期刊论文从多个角度进行了量化分析,以反映国际学术界在阅读评价研究领域的学术生产力、核心作者...论文以Web of Science数据库为数据采集的对象,收集了世界范围内有关阅读评价研究方面的核心期刊论文千余篇,并通过文献计量学方法对这些期刊论文从多个角度进行了量化分析,以反映国际学术界在阅读评价研究领域的学术生产力、核心作者的贡献、以及人们关注的热点重点的研究论题等信息。展开更多
There are two types of cell death-apoptosis and necrosis. Apoptosis is cell death regulated by cell signaling pathways, while necrosis has until recently been considered a passive mechanism of cell death caused by env...There are two types of cell death-apoptosis and necrosis. Apoptosis is cell death regulated by cell signaling pathways, while necrosis has until recently been considered a passive mechanism of cell death caused by environmental pressures. However, recent studies show that necrosis can also be regulated by specific cell signaling pathways. This mode of death, termed necroptosis, has been found to be related to the occurrence and development of many diseases. We used bibliometrics to analyze the global output of literature on necroptosis in the field of neuroscience published in the period 2007–2019 to identify research hotspots and prospects. We included 145 necroptosisrelated publications and 2239 references published in the Web of Science during 2007–2019. Visualization analysis revealed that the number of publications related to necroptosis has increased year by year, reaching a peak in 2019. China is the country with the largest number of publications. Key word and literature analyses demonstrated that mitochondrial function change, stroke, ischemia/reperfusion and neuroinflammation are likely the research hotspots and future directions of necroptosis research in the nervous system. The relationship between immune response-related factors, damage-associated molecular patterns, pathogen-associated molecular patterns and necroptosis may become a potential research hotspot in the future. Taken together, our findings suggest that although the inherent limitations of bibliometrics may affect the accuracy of the literature-based prediction of research hotspots, the results obtained from the included publications can provide a reference for the study of necroptosis in the field of neuroscience.展开更多
Purpose: The goal of this study is to explore whether deep learning based embed ded models can provide a better visualization solution for large citation networks. De sign/methodology/approach: Our team compared the v...Purpose: The goal of this study is to explore whether deep learning based embed ded models can provide a better visualization solution for large citation networks. De sign/methodology/approach: Our team compared the visualization approach borrowed from the deep learning community with the well-known bibliometric network visualization for large scale data. 47,294 highly cited papers were visualized by using three network embedding models plus the t-SNE dimensionality reduction technique. Besides, three base maps were created with the same dataset for evaluation purposes. All base maps used the classic Open Ord method with different edge cutting strategies and parameters. Findings: The network embedded maps with t-SNE preserve a very similar global structure to the full edges classic force-directed map, while the maps vary in local structure. Among them, the Node2Vec model has the best overall visualization performance, the local structure has been significantly improved and the maps' layout has very high stability.Research limitations: The computational and time costs of training are very high for network em bedded models to obtain high dimensional latent vector. Only one dimensionality reduction technique was tested. Practical implications: This paper demonstrates that the network embedding models are able to accurately reconstruct the large bibliometric network in the vector space. In the future, apart from network visualization, many classical vector-based machine learning algorithms can be applied to network representations for solving bibliomet ric analysis tasks. Originality/value: This paper provides the first systematic comparison of classical science mapping visualization with network embedding based visualization on a large scale dataset. We showed deep learning based network embedding model with t-SNE can provide a richer,more stable science map. We also designed a practical evaluation method to investigate and compare maps.展开更多
基于1990—2019年Web of Science核心合集收录的292篇夜间经济文献,借助CiteSpace软件进行可视化分析。结果发现:①国际夜间经济研究的文献数量呈波动上升趋势,学科交叉研究特征显著。②发文学者集中于欧美澳地区,已形成多个紧密的合作...基于1990—2019年Web of Science核心合集收录的292篇夜间经济文献,借助CiteSpace软件进行可视化分析。结果发现:①国际夜间经济研究的文献数量呈波动上升趋势,学科交叉研究特征显著。②发文学者集中于欧美澳地区,已形成多个紧密的合作网络。③研究历程可分为萌芽探索、逐步推进和快速发展三大阶段。④领域研究聚焦于夜间犯罪与暴力、夜间治安与管理、群体特征与行为、夜间旅游与休闲等。展开更多
文章基于Web of Science数据库,客观分析了当前汉麻脱胶技术的研究进展,旨在为中国汉麻脱胶领域工作者提供情报,推进中国汉麻脱胶研究。基于Web of Science数据库,对世界范围内关于汉麻脱胶技术发文数量、类型、高发文国家、期刊、发文...文章基于Web of Science数据库,客观分析了当前汉麻脱胶技术的研究进展,旨在为中国汉麻脱胶领域工作者提供情报,推进中国汉麻脱胶研究。基于Web of Science数据库,对世界范围内关于汉麻脱胶技术发文数量、类型、高发文国家、期刊、发文机构等数据进行分析。结果表明,汉麻脱胶技术的研究在21世纪以来出现逐年递增的趋势,其中中国、美国、意大利发文量居前三名。在全世界范围内,对汉麻的研究主要集中在材料科学方面。中国以后应更加注重论文发表质量,加强和其他研究机构、国家的合作,以提高中国在汉麻脱胶方面的研究水平。展开更多
该文基于Web of science数据库,对世界范围内关于木质纤维素生物降解领域的文章进行了近年文献数量变化趋势、重点发文国家、重点发文作者、重点发文机构、重点发文研究方向以及重点发文期刊6个角度的数据分析,为今后该领域的研究提供...该文基于Web of science数据库,对世界范围内关于木质纤维素生物降解领域的文章进行了近年文献数量变化趋势、重点发文国家、重点发文作者、重点发文机构、重点发文研究方向以及重点发文期刊6个角度的数据分析,为今后该领域的研究提供一些基础的数据资源。在进入21世纪后,木质纤维素生物降解领域的发文数量总体呈现出良好的增长态势,美国在该领域发布文章的数量和质量都很可观,我国在该领域发布的文章还需提高质量。在木质纤维素生物降解领域的研究中,我国应该加强与部分欧美国家的合作,带动我国在该领域科研实力的提升。展开更多
<div style="text-align:justify;"> <span style="font-family:Verdana;">Over the last decade, many universities/colleges have developed formal agreements which permit students from recogni...<div style="text-align:justify;"> <span style="font-family:Verdana;">Over the last decade, many universities/colleges have developed formal agreements which permit students from recognized college programs to be able to seamlessly transfer to a closely-related university program with advance standing. There has been some concerned raised that students that come to university from college may not be academically (or emotionally) prepared for the faster-paced university programs. This research, which was funded by an Ontario Council on Articulation and Transfer Faculty Fellowship, examines the academic performance of students in computer-related disciplines with a focus on comparing students who come to a university through a formalized college-to-university transfer agreement relative to students who enroll directly from high school. The comparisons will be based on metrics such as graduation rates, course failure rates, overall averages, course-level averages, and course-subject averages.</span> </div>展开更多
基于Web of Science数据库,以1999-2019年检索所得1 240篇浅层滑坡期刊论文为样本,利用CiteSpace对该领域内国家/地区和机构、学科/期刊和高频关键词进行文献计量和可视化分析,结果表明:浅层滑坡研究的国际合作非常普遍,意大利在浅层滑...基于Web of Science数据库,以1999-2019年检索所得1 240篇浅层滑坡期刊论文为样本,利用CiteSpace对该领域内国家/地区和机构、学科/期刊和高频关键词进行文献计量和可视化分析,结果表明:浅层滑坡研究的国际合作非常普遍,意大利在浅层滑坡研究中占据核心地位,意大利国家研究委员和中国科学院两家机构在该领域发挥重要作用,GEOMORPHOLOGY和LANDSLIDES杂志为浅层滑坡研究代表性期刊。复合模型算法为浅层滑坡研究领域近期的热点主题。展开更多
文章基于Web of Science数据库,应用HistCite软件对2010年1月至2019年12月10年内肠外营养研究进行文献计量学分析,共检索到5811篇文献,每年平均发文量为576篇,保持平稳发展状态。并应用CiteSpace5.6.R5可视化软件的共词分析功能构建共...文章基于Web of Science数据库,应用HistCite软件对2010年1月至2019年12月10年内肠外营养研究进行文献计量学分析,共检索到5811篇文献,每年平均发文量为576篇,保持平稳发展状态。并应用CiteSpace5.6.R5可视化软件的共词分析功能构建共现作者、机构、关键词网络,通过共词聚类分析总结肠外营养的研究领域集中在肠衰竭、短肠综合征、肠外营养相关并发症等,研究对象主要为危重患者、儿童。经分析发现,近10年肠外营养相关研究处于平稳发展状态,相关医师、药师、护理人员可从肠外营养与肠内营养联合应用的临床疗效、肠外营养供给最佳时机、肠外营养组分研究等方面进行研究。展开更多
目的分析近10年内质网应激的研究现状、经典文献、热点和前沿。方法检索自2010年1月—2020年9月收录于Web of Science(WOS)数据库中的内质网应激相关文献,借助VOSviewer和CiteSpaceⅤ软件对该领域的发文量、文献共被引、关键词、关键词...目的分析近10年内质网应激的研究现状、经典文献、热点和前沿。方法检索自2010年1月—2020年9月收录于Web of Science(WOS)数据库中的内质网应激相关文献,借助VOSviewer和CiteSpaceⅤ软件对该领域的发文量、文献共被引、关键词、关键词突发检测和时区图进行可视化分析。结果纳入22021篇SCI文献,发文量呈逐年上升趋势,文献被引量最多的是David等文章,研究热点为细胞自噬与凋亡、氧化应激、未折叠蛋白等。结论本文揭示了近10年来该领域的研究力量、发展脉络、研究热点和前沿,为今后学者的研究提供参考。展开更多
Readers of The New England Journal of Medicine may be excused for thinking that there is a good case for, and nogood case against, the use of animals in biomedical research. In October 1986, philosopher Carl Cohen, wh...Readers of The New England Journal of Medicine may be excused for thinking that there is a good case for, and nogood case against, the use of animals in biomedical research. In October 1986, philosopher Carl Cohen, who is knownfor his principled positions on affirmative action and other issues, published an article in that journal in which heclaimed that there are (only) two kinds of argument against the use of animals in biomedical research. After examiningboth arguments, Cohen concluded that they “deserve definitive dismissal.” In this article, I show that both of Cohen’sattempted refutations fail. Not only has he not laid a glove on the arguments in question;his discussion betrays afundamental misunderstanding of the arguments that he so cavalierly dismisses. Readers of Cohen’s article owe it tothemselves—and, more importantly, to the animals whose use as research subjects Cohen defends—to take anotherlook at the issue.展开更多
文摘目的通过文献计量学方法对近十年Web of Science数据库中收录的法庭科学相关文献进行分析,为相关研究工作提供借鉴。方法使用主题、期刊和机构3种途径进行文献检索,通过Thomson Data Analyzer(TDA)、Ucinet和VOSviewer等工具分析相应文献的年度分布、国家(地区)分布、机构分布、期刊分布和研究热点。结果近十年,相应文献共计49469篇。发文量呈逐年上升趋势。发文量前15的国家(地区)占发文总量的78.52%;中国发文量位列第5,但高被引文献所占比例位列第12;荷兰、瑞士和澳大利亚等国家(地区)综合影响力较高。中国合作国家(地区)主要包括美国、英国和德国等129个。圣玛丽大学法庭科学学院、悉尼大学和荷兰法医协会等综合影响力较高,相应文献发表在6357种期刊。根据领域高频词共现网络和高被引文献遴选出颅脑损伤、医疗卫生政策、评定量表和模型、医学影像学等研究热点。结论国际法庭科学领域SCI收录文献总数增速明显,我国成果影响力需大力提升;国际研究机构分散,我国研究力量需不断凝聚;国际领域研究热点广泛,我国高水平研究的国际参与度需继续提高。
文摘为了解近五年图书情报学在SCI优质期刊中的研究主流及研究热点,提供借鉴及潜在研究方向,本研究提取Web of Science中2018年Journal Citation Reports排名靠前的期刊上发表的论文及其引文数据,应用“DEAN”数据清洗流程,借助CiteSpace软件进行分析并绘制可视化图谱,分别从发文机构、著者、研究热点等角度对国际图书情报学研究状态及成果进行分析识别,分析各聚类的代表文章,归纳领域主流研究热点。
文摘国际学术合作能够提高科研效率,推动知识创新,探讨国际合著论文中的国家贡献度,对反映国家领域影响力,提升国际合作态势具有重要意义。从数值和内容两个层面构建国际合著国家学术贡献度分析模型,以中国作为重点研究对象,以Web of Science为数据来源,通过构建国际合著网络,结合学术贡献度计算公式,分析近十年中国在Information Science&Library Science(图书情报学,以下简称ISLS)领域的学术贡献度,并以知识图谱的方式揭示中国学术参与主题的演化。结果表明:在数值方面,第一阶段中国学术贡献度较小,但第二阶段持续发力,成为国际合作中的后起之秀,学术贡献度仅次于美国;在内容方面,经历了从理论研究到技术创新的演进,参与的学术主题呈多元化和深入化趋势。
文摘南大洋生物资源养护与区域治理一直为全球其他区域树立典范,而南极海洋保护区(Antarctic Marine ProtectedArea,AMPA)自提出以来便受到了全球学者的广泛关注。为了更为全面地了解AMPA的研究状况和热点问题,本研究以Web of Science核心数据库中有关AMPA的文献为样本,融合CNKI数据库相关信息,运用文献计量分析对1995年后AMPA研究状况进行了分析。结果表明,自2015年以来涉及AMPA的文献数量增速较快,研究学科交叉明显,发文主要集中于极地海洋及生物学领域。澳大利亚、美国等为开展AMPA研究较为突出的国家。基于文献共被引聚类分析可知,关于AMPA的研究涵盖8个类群,分别是生态系统管理、景观制图、长期管理、空间分布、潜在性影响、海洋生物多样性养护、预防性空间保护和无冰区等。主要研究方向为管理学、环境科学和生态学以及计算机信息技术等。基于突变检测结果显示,涉及AMPA研究的前沿热点方向包括管理学与AMPA研究的结合、环境科学与生态学研究的结合以及计算机信息技术与多年科考数据结合等。我国有关AMPA的研究主要集中在法律层面,今后需进一步加强国际前沿热点方面的研究,从而为AMPA的推进提供中国智慧,甚至中国方案。
基金supported by the National Natural Science Foundation of China,Nos. 81772134,81971891,and 81571939 (to KX)the Key Research and Development Program of Hunan Province of China,No. 2018SK2091 (to KX)+3 种基金Hunan Provincial Innovation Foundation For Postgraduate,No. CX20200116 (to WTY)Wu Jie Ping Medical Foundation of the Minister of Health of China,No. 320.6750.14118 (to KX)Foundation of Science and Technology of Hunan Province of China,No. 2018JJ2552 (to YC)the Project of Graduate Independent Exploration and Innovation Plan of Central South University of China,No. 2020zzts218 (to WTY)。
文摘There are two types of cell death-apoptosis and necrosis. Apoptosis is cell death regulated by cell signaling pathways, while necrosis has until recently been considered a passive mechanism of cell death caused by environmental pressures. However, recent studies show that necrosis can also be regulated by specific cell signaling pathways. This mode of death, termed necroptosis, has been found to be related to the occurrence and development of many diseases. We used bibliometrics to analyze the global output of literature on necroptosis in the field of neuroscience published in the period 2007–2019 to identify research hotspots and prospects. We included 145 necroptosisrelated publications and 2239 references published in the Web of Science during 2007–2019. Visualization analysis revealed that the number of publications related to necroptosis has increased year by year, reaching a peak in 2019. China is the country with the largest number of publications. Key word and literature analyses demonstrated that mitochondrial function change, stroke, ischemia/reperfusion and neuroinflammation are likely the research hotspots and future directions of necroptosis research in the nervous system. The relationship between immune response-related factors, damage-associated molecular patterns, pathogen-associated molecular patterns and necroptosis may become a potential research hotspot in the future. Taken together, our findings suggest that although the inherent limitations of bibliometrics may affect the accuracy of the literature-based prediction of research hotspots, the results obtained from the included publications can provide a reference for the study of necroptosis in the field of neuroscience.
基金funded by the strategic research project of the Development Planning Bureau of the Chinese Academy of Sciences under Grant No.GHJ-ZLZX-2019-42the Youth Fund Project of Institutes of Science and Development, Chinese Academy of Sciences under Grant name “Research on Key Methods in Comparison of Scientific Funding Layout。
文摘Purpose: The goal of this study is to explore whether deep learning based embed ded models can provide a better visualization solution for large citation networks. De sign/methodology/approach: Our team compared the visualization approach borrowed from the deep learning community with the well-known bibliometric network visualization for large scale data. 47,294 highly cited papers were visualized by using three network embedding models plus the t-SNE dimensionality reduction technique. Besides, three base maps were created with the same dataset for evaluation purposes. All base maps used the classic Open Ord method with different edge cutting strategies and parameters. Findings: The network embedded maps with t-SNE preserve a very similar global structure to the full edges classic force-directed map, while the maps vary in local structure. Among them, the Node2Vec model has the best overall visualization performance, the local structure has been significantly improved and the maps' layout has very high stability.Research limitations: The computational and time costs of training are very high for network em bedded models to obtain high dimensional latent vector. Only one dimensionality reduction technique was tested. Practical implications: This paper demonstrates that the network embedding models are able to accurately reconstruct the large bibliometric network in the vector space. In the future, apart from network visualization, many classical vector-based machine learning algorithms can be applied to network representations for solving bibliomet ric analysis tasks. Originality/value: This paper provides the first systematic comparison of classical science mapping visualization with network embedding based visualization on a large scale dataset. We showed deep learning based network embedding model with t-SNE can provide a richer,more stable science map. We also designed a practical evaluation method to investigate and compare maps.
文摘基于1990—2019年Web of Science核心合集收录的292篇夜间经济文献,借助CiteSpace软件进行可视化分析。结果发现:①国际夜间经济研究的文献数量呈波动上升趋势,学科交叉研究特征显著。②发文学者集中于欧美澳地区,已形成多个紧密的合作网络。③研究历程可分为萌芽探索、逐步推进和快速发展三大阶段。④领域研究聚焦于夜间犯罪与暴力、夜间治安与管理、群体特征与行为、夜间旅游与休闲等。
文摘文章基于Web of Science数据库,客观分析了当前汉麻脱胶技术的研究进展,旨在为中国汉麻脱胶领域工作者提供情报,推进中国汉麻脱胶研究。基于Web of Science数据库,对世界范围内关于汉麻脱胶技术发文数量、类型、高发文国家、期刊、发文机构等数据进行分析。结果表明,汉麻脱胶技术的研究在21世纪以来出现逐年递增的趋势,其中中国、美国、意大利发文量居前三名。在全世界范围内,对汉麻的研究主要集中在材料科学方面。中国以后应更加注重论文发表质量,加强和其他研究机构、国家的合作,以提高中国在汉麻脱胶方面的研究水平。
文摘该文基于Web of science数据库,对世界范围内关于木质纤维素生物降解领域的文章进行了近年文献数量变化趋势、重点发文国家、重点发文作者、重点发文机构、重点发文研究方向以及重点发文期刊6个角度的数据分析,为今后该领域的研究提供一些基础的数据资源。在进入21世纪后,木质纤维素生物降解领域的发文数量总体呈现出良好的增长态势,美国在该领域发布文章的数量和质量都很可观,我国在该领域发布的文章还需提高质量。在木质纤维素生物降解领域的研究中,我国应该加强与部分欧美国家的合作,带动我国在该领域科研实力的提升。
文摘<div style="text-align:justify;"> <span style="font-family:Verdana;">Over the last decade, many universities/colleges have developed formal agreements which permit students from recognized college programs to be able to seamlessly transfer to a closely-related university program with advance standing. There has been some concerned raised that students that come to university from college may not be academically (or emotionally) prepared for the faster-paced university programs. This research, which was funded by an Ontario Council on Articulation and Transfer Faculty Fellowship, examines the academic performance of students in computer-related disciplines with a focus on comparing students who come to a university through a formalized college-to-university transfer agreement relative to students who enroll directly from high school. The comparisons will be based on metrics such as graduation rates, course failure rates, overall averages, course-level averages, and course-subject averages.</span> </div>
文摘基于Web of Science数据库,以1999-2019年检索所得1 240篇浅层滑坡期刊论文为样本,利用CiteSpace对该领域内国家/地区和机构、学科/期刊和高频关键词进行文献计量和可视化分析,结果表明:浅层滑坡研究的国际合作非常普遍,意大利在浅层滑坡研究中占据核心地位,意大利国家研究委员和中国科学院两家机构在该领域发挥重要作用,GEOMORPHOLOGY和LANDSLIDES杂志为浅层滑坡研究代表性期刊。复合模型算法为浅层滑坡研究领域近期的热点主题。
文摘文章基于Web of Science数据库,应用HistCite软件对2010年1月至2019年12月10年内肠外营养研究进行文献计量学分析,共检索到5811篇文献,每年平均发文量为576篇,保持平稳发展状态。并应用CiteSpace5.6.R5可视化软件的共词分析功能构建共现作者、机构、关键词网络,通过共词聚类分析总结肠外营养的研究领域集中在肠衰竭、短肠综合征、肠外营养相关并发症等,研究对象主要为危重患者、儿童。经分析发现,近10年肠外营养相关研究处于平稳发展状态,相关医师、药师、护理人员可从肠外营养与肠内营养联合应用的临床疗效、肠外营养供给最佳时机、肠外营养组分研究等方面进行研究。
文摘目的分析近10年内质网应激的研究现状、经典文献、热点和前沿。方法检索自2010年1月—2020年9月收录于Web of Science(WOS)数据库中的内质网应激相关文献,借助VOSviewer和CiteSpaceⅤ软件对该领域的发文量、文献共被引、关键词、关键词突发检测和时区图进行可视化分析。结果纳入22021篇SCI文献,发文量呈逐年上升趋势,文献被引量最多的是David等文章,研究热点为细胞自噬与凋亡、氧化应激、未折叠蛋白等。结论本文揭示了近10年来该领域的研究力量、发展脉络、研究热点和前沿,为今后学者的研究提供参考。
文摘Readers of The New England Journal of Medicine may be excused for thinking that there is a good case for, and nogood case against, the use of animals in biomedical research. In October 1986, philosopher Carl Cohen, who is knownfor his principled positions on affirmative action and other issues, published an article in that journal in which heclaimed that there are (only) two kinds of argument against the use of animals in biomedical research. After examiningboth arguments, Cohen concluded that they “deserve definitive dismissal.” In this article, I show that both of Cohen’sattempted refutations fail. Not only has he not laid a glove on the arguments in question;his discussion betrays afundamental misunderstanding of the arguments that he so cavalierly dismisses. Readers of Cohen’s article owe it tothemselves—and, more importantly, to the animals whose use as research subjects Cohen defends—to take anotherlook at the issue.