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根据2011年中国科学技术信息研究所的统计显示,2010年中国发表SCI论文14.84万篇,平均每篇论文被引用6.21次,中国学术期刊的国际影响力仍较薄弱.2010年SCI发布数据显示,中国被收录期刊138种,仅占总数的1.7％,远落后于美国(2697种),其平均影响因子0.904,平均总被引用898次,远低于国际总体平均值2.014和4294次. 相似文献
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利用Excel和EndNote Web提高论文查收查引工作效率 总被引：2，自引：0，他引：2
"论文被收录与引用情况统计表"综合反映了科研人员发表论文的数量和质量,针对被SCI网络版收录论文的引用期刊种数和引用作者人数的统计问题,提出一种利用文档合并和Excel高级筛选功能结合的方法,还介绍了利用文献管理软件EndNote Web提高论文查收查引工作效率的方法。 相似文献
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近年来我国非常重视科技论文被SCI(E)收录的情况,科技论文被SCI(E)收录和引用已成为评价个人、机构、地区以及国家学术水平、科研创新能力和论文质量的国际通用依据。因此SCI(E)越来越受到我国高等院校师生和科研院所科技工作者的广泛关注。本文介绍了SCI(E)的收录范围、检索途径和投稿技巧。 相似文献
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以儿科、外科、内科、放射、口腔5个学科发文最多的10位专家为研究对象,对这些高产作者在中文期刊和SCI期刊发表论文的情况进行对比分析。数据显示:1)2000—2012年,本研究的目标作者在SCI收录期刊发表论文的数量低于万方数据库,国内科学领域主要的学术交流平台仍是中文期刊。2)目标作者在SCI收录期刊发表论文呈逐年上升趋势,而我国的中文期刊发表的论文,在2006年进入平台期,随后呈下降趋势。2012年,5个学科SCI论文与中文期刊论文篇数基本相等。3)目标作者的SCI论文的被引频次中37.96%为国内作者引用。4)与中国科技论文外流整体情况比较,医学优秀论文外流更为严重。 相似文献
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课题组 《中国科技资源导刊 (中国信息导报)》2000,12(12)
一、国际论文发表数和论文被引用情况 国际论文指《 SCI》、《 EI》和《 ISTP》三个检索系统所收录的我国科技人员发表的论文。 论文被引用数是指《 SCI》所收录的我国科技人员 1994～ 1998年五年中发表的论文于 1999年在国际上被引用的篇数和次数。 (一 )国际论文发表情况 1．论文数最多的六个地区 北京 11541篇,上海 4391篇,江苏 2819篇,陕西 2003篇,湖北 1822篇,辽宁 1534篇。 2．论文数最多的 6个学科 化学 8149篇,物理 6801篇,电子、通讯与自动控制 3967篇,材料 2775篇,动力与电气 1758篇,数学 1647篇。 3．《 … 相似文献
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利用SCIE数据库,统计出2004—2013年间华南理工大学、清华大学、麻省理工学院被SCIE数据库收录的论文情况,运用文献计量学的方法,比较分析被收录论文数量、H（影响）因子、总被引频次、平均被引频次和国际引用率等指标,研究各指标随时间的变化趋势,客观反映出华南理工大学与国内外高水平研究型大学之间的差距。 相似文献
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文章以上海师范大学化学学科用户近五年(2006-2010年)被SCI收录论文为对象,对收录的论文及其引文数据进行整理、统计,重点对引文数据从引用年代、引用频次和引用期刊所在库的情况三个方面加以分析,以获取化学学科电子期刊库对于化学学科科研的保障现状,为化学学科的数字资源优化和建设提供相应的参考和依据。 相似文献
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本文通过数理统计方法,分析讨论了2007年第一作者署名单位为南开大学的科技论文被国际权威检索系统SCI收录情况及相关学科的发展现状,与前些年学校论文、与2007年国内一些大学论文被SCI收录情况进行比较,以便清楚地了解和认识到南开大学在国内主要高校中SCl论文收录的现状、存在的问题和今后努力的方向,调动广大师生撰写高质量学术论文的积极性,从而提高南开大学在国内外的学术影响力. 相似文献
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《Tsinghua Science and Technology》的数据统计分析 总被引：1，自引：0，他引：1
为了提高期刊的质量,争取早日被SCI收录,对Tsinghua Science and Technology创刊6年来刊文作者的地域分布及论文引用文献的情况进行了分析.结果表明:校内作者仍是主要的作者群,但近年来校外作者特别是国外作者的论文比例有所增加;每篇论文引用文献的平均数量不断增加,由1996年的6.9篇增加到2001年的13.4篇,并且引用外文文献的比例也在不断提高.提出,在创办高水平科技期刊过程中应主动向国际著名专家约稿,并努力实现期刊的国际化. 相似文献
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《Journal of Informetrics》2014,8(3):628-641
This paper investigates directional returns to scale (RTS) and illustrates this approach by studying biological institutes of the Chinese Academy of Sciences (CAS). Using the following input–output indicators are proposed: senior professional and technical staffs, middle level and junior professional and technical staffs, research expenditure on personnel salaries and other expenditures, SCI papers, high-quality papers, graduates training and intellectual properties, the paper uses the methods recently proposed by Yang to analyze the directional returns to scale and the effect of directional congestion of biological institutes in Chinese Academy of Sciences. Based on our analysis we come to the following findings: (1) we detect the regime of directional returns to scale (increasing, constant, decreasing) for each biological institute. This information can be used as the basis for decision-making about organizational adjustment; (2) congestion and directional congestion occurs in several biological institutes. In such cases the outputs of these institutes decrease when the inputs increase. Such institutes should analyze the underlying reason for the occurrence of congestion so that S&T resources can be used more efficiently. 相似文献
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论文以CSSCI(1998—2010)收录的题名包含"数字图书馆"的来源文献和被引期刊论文为样本,统计论文产出机构及其相关数据,从发文量、被引量、高被引文论文量等多个角度,揭示国内数字图书馆研究机构的学术影响力,以帮助该领域的研究者和管理人员全面掌握国内相关研究机构的整体状况。 相似文献
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《Journal of Informetrics》2019,13(2):593-604
In the past few decades, there has been increasing interest in public-private collaboration, which has motivated lengthy discussion of the implications of collaboration in general, and co-authorship in particular, for the scientific impact of research. However, despite this strong interest in the topic, there is little systematic knowledge on the relation between public-private collaboration and citation impact. This paper examines the citation impact of papers involving public-private collaboration in comparison with academic research papers. We examine the role of a variety of factors, such as international collaboration, the number of co-authors, academic disciplines, and whether the research is mainly basic or applied. We first examine citation impact for a comprehensive dataset covering all Web of Science journal articles with at least one Danish author in the period 1995–2013. Thereafter, we examine whether citation impact for individual researchers differs when collaborating with industry compared to work only involving academic researchers, by looking at a fixed group of researchers that have both engaged in public-private collaborations and university-only publications. For national collaboration papers, we find no significant difference in citation impact for public-only and public-private collaborations. For international collaboration, we observe much higher citation impact for papers involving public-private collaboration. 相似文献
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《编辑学报》高被引论文分析 总被引：5，自引：1，他引：4
以中国知网<中国学术文献网络出版总库>为统计源,从文献引证的角度分析<编辑学报>高被引论文的分布规律.研究结果表明:该数据库共收录<编辑学报>1989-2009年原文3 508篇,被引文献2545篇,被引率为73%,总被引频次为1万5 863,单篇最高被引频次71;较少的论文拥有较高的被引频次,基本符合"二八定律";前100篇高被引论文中,栏目高被引论文数最多的是<理论研究>(46篇),个人高被引论文数最多的是游苏宁(6篇);前10篇高被引论文每年都在被引用,具有旺盛的生命力. 相似文献
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《Journal of Informetrics》2019,13(2):515-539
Counting of number of papers, of citations and the h-index are the simplest bibliometric indices of the impact of research. We discuss some improvements. First, we replace citations with individual citations, fractionally shared among co-authors, to take into account that different papers and different fields have largely different average number of co-authors and of references. Next, we improve on citation counting applying the PageRank algorithm to citations among papers. Being time-ordered, this reduces to a weighted counting of citation descendants that we call PaperRank. We compute a related AuthorRank applying the PageRank algorithm to citations among authors. These metrics quantify the impact of an author or paper taking into account the impact of those authors that cite it. Finally, we show how self- and circular-citations can be eliminated by defining a closed market of Citation-coins. We apply these metrics to the InSpire database that covers fundamental physics, presenting results for papers, authors, journals, institutes, towns, countries for all-time and in recent time periods. 相似文献
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以中国知网《中国学术期刊网络出版总库》和《中国引文数据库》为统计源,分析2006—2010年国内期刊出版专题研究高被引论文的分布规律。中国知网共收录2006—2010年国内期刊出版专题研究论文5万3 702篇,被引1万4 696篇,被引频次4万773次;前50篇高被引论文总被引频次2 019次,最高被引93次,最低28次,篇均被引40.38次。对50篇高被引论文的研究方向、源期刊及其地区、作者情况进行了统计和分析,以为出版专题的研究和编辑工作提供参考。 相似文献
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《Journal of Informetrics》2022,16(4):101333
The number of clinical citations received from clinical guidelines or clinical trials has been considered as one of the most appropriate indicators for quantifying the clinical impact of biomedical papers. Therefore, the early prediction of clinical citation count of biomedical papers is critical to scientific activities in biomedicine, such as research evaluation, resource allocation, and clinical translation. In this study, we designed a four-layer multilayer perceptron neural network (MPNN) model to predict the clinical citation count of biomedical papers in the future by using 9,822,620 biomedical papers published from 1985 to 2005. We extracted ninety-one paper features from three dimensions as the input of the model, including twenty-one features in the paper dimension, thirty-five in the reference dimension, and thirty-five in the citing paper dimension. In each dimension, the features can be classified into three categories, i.e., the citation-related features, the clinical translation-related features, and the topic-related features. Besides, in the paper dimension, we also considered the features that have previously been demonstrated to be related to the citation counts of research papers. The results showed that the proposed MPNN model outperformed the other five baseline models, and the features in the reference dimension were the most important. In all the three dimensions, the citation-related and topic-related features were more important than the clinical translation-related features for the prediction. It also turned out that the features helpful in predicting the citation count of papers are not important for predicting the clinical citation count of biomedical papers. Furthermore, we explored the MPNN model based on different categories of biomedical papers. The results showed that the clinical translation-related features were more important for the prediction of clinical citation count of basic papers rather than those papers closer to clinical science. This study provided a novel dimension (i.e., the reference dimension) for the research community and could be applied to other related research tasks, such as the research assessment for translational programs. In addition, the findings in this study could be useful for biomedical authors (especially for those in basic science) to get more attention from clinical research. 相似文献
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The influences of counting methods on university rankings based on paper count and citation count 总被引：1，自引：0，他引：1
In an age of intensifying scientific collaboration, the counting of papers by multiple authors has become an important methodological issue in scientometric based research evaluation. Especially, how counting methods influence institutional level research evaluation has not been studied in existing literatures. In this study, we selected the top 300 universities in physics in the 2011 HEEACT Ranking as our study subjects. We compared the university rankings generated from four different counting methods (i.e. whole counting, straight counting using first author, straight counting using corresponding author, and fractional counting) to show how paper counts and citation counts and the subsequent university ranks were affected by counting method selection. The counting was based on the 1988–2008 physics papers records indexed in ISI WoS. We also observed how paper and citation counts were inflated by whole counting. The results show that counting methods affected the universities in the middle range more than those in the upper or lower ranges. Citation counts were also more affected than paper counts. The correlation between the rankings generated from whole counting and those from the other methods were low or negative in the middle ranges. Based on the findings, this study concluded that straight counting and fractional counting were better choices for paper count and citation count in the institutional level research evaluation. 相似文献
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[目的/意义] 文章的被引频次一直是量化评价一篇论文学术影响力的重要指标。但在不同学科不同年份发表的论文会因该领域研究论文数、引用滞后等因素呈现较大的差异。因此在对比两篇论文时，难以简单依据被引频次的绝对值来评判论文影响力大小。为此，本文设计了一个新的可计算数学模型，使得每篇论文可以有一个标准化的指标，以便对不同学科不同年份发表的论文的学术影响力进行直接比较。[方法/过程] 通过分析2006、2017两年中国科技类学术期刊各学科论文的被引频次分布规律，采用同学科论文被引频次的分布形态最接近对数正态分布的先设条件，提出一种被引频次标准化指数——Paper Citation Standardized Index （简称PCSI，中文"论文引证标准化指数"）。最后以中国科协优秀科技期刊论文评选结果为例，将它们与论文所属学科全部论文进行实证对比研究。[结果/结论] 结果证明，PCSI对不同年份、不同学科论文的被引频次进行了标准化，反映了被引频次的线性差距，是一种较为理想的单篇论文学术影响力比较评价工具。 相似文献