共查询到19条相似文献，搜索用时 640 毫秒
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选择中外档案学领域典型期刊近十年的数据,从引文量、引文类型、高被引期刊、高被引作者、引用半衰期等方面比较分析国内外学者引证行为,得出:国内引文总量高于国外,但附引率和篇均引文量低于国外,外文在国内档案学论文中的引用越来越多;国内引文数量集中区间长于国外,但高引文量的论文篇数低于国外;期刊论文、图书、史料和网络文献是档案学学者主要的引用来源,网络文献的引用越来越多;国内档案学高被引文献大多为专著,国外则多为期刊论文;《档案学通讯》和Restaurator分别是国内外档案学者引用最多的期刊;冯惠玲和Neevel JG分别是国内外被引频次最高的档案学者;国内档案学者倾向于引用新文献,国外档案学引文半衰期比国内长。 相似文献
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本文采用文献计量学的方法,通过对<污染防治技术>近五年(1996-2000年)间所发表论文的引用文献(包括引文的数量,学科,类型,语种,年代和被引期刊分布)的调查分析,得出我国环境科学文献引文的一般规律. 相似文献
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网络的出现使网络引文分析成为研究热点,国内外学者对网络引文的研究却存在很大的差异.国内学者主要关注将网络文献作为学术论文参考文献的一种引文形式.国外学者主要关注网络上文本引文或纸质文献出版物在网络上的被引用.文章通过比较国内外研究内容,探讨了网络引文分析研究现状,最后提出了加强三种类型引文分析理论和方法的整合的建议. 相似文献
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通过选取1994年-2005年问发表的民族文献研究论文279篇,对民族文献研究引文的数量、类型、被引文图书情报专业期刊分布、引文学科分布、著者引用频次等进行了统计分析,以揭示我国民族文献研究的现状及呈现的特点和规律. 相似文献
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我国情报学主要期刊引文定量分析 总被引：42，自引：1，他引：42
运用文献计量方法 ,通过对《情报学报》等我国情报学四种主要期刊2 0 0 1年所发表论文的引用文献 (包括引文的数量、语种、类型、学科、年代和被引期刊分布 )的定量调查分析 ,得出我国情报学研究文献引文的一般规律。 相似文献
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《图书情报工作》1990～1999年所载外文引文分析 总被引：7，自引：0，他引：7
从数量、年代分布、语种等5个方面分析统计1990～1999年《图书情报工作》所载的全部外文引文,揭示了其10年间所刊论文引用外文文献的发展变化。 相似文献
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[目的/意义] 为了解我国标准文献的学术影响力, 以为标准文献的利用提供参考, 从标准文献的角度出发, 分析其被引证特征。[方法/过程] 选择中国引文数据库中1994-2013年标准类引文数据, 采用文献计量的方法, 从标准引文总量、篇均标准引文量等方面分析标准文献的总体被引用情况和学科分布情况。[结果/结论] 标准引文量和篇均标准引文量占引文总量比例很小;各学科标准引文量差异较大, 工科和医科对标准文献的引用较多;标准引文数量和被引频次较高的专题集中于自然科学;大部分社会学科标准引用量为零;标准引文的半衰期整体上较长, 老化速度较慢。 相似文献
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科技期刊长期老化趋势与影响因素实证研究——基于4门学科期刊30年引文数据的统计分析 总被引：1，自引：0，他引：1
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机械、仪表工业类核心期刊的引文分析 总被引：10，自引：0，他引：10
对《中文核心期刊要目总览》收录的机械、仪表工业类 2 5种核心期刊中 1998年所载论文的引文进行调查统计。对平均载文量、引文的数量、文献类型、语种分布、年代分布和各种中文文献被引频次等有关信息进行定量分析 ,客观地对该类 2 5种核心期刊的引文水平和一般规律进行综合评价 相似文献
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美国对华研究信息源分析中图书专著的样本选择与引文分析 总被引：1，自引：0，他引：1
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Qing Ke 《Journal of Informetrics》2018,12(3):706-717
Traditionally, the number of citations that a scholarly paper receives from other papers is used as the proxy of its scientific impact. Yet citations can come from domains outside the scientific community, and one such example is through patented technologies—paper can be cited by patents, achieving technological impact. While the scientific impact of papers has been extensively studied, the technological aspect remains less known in the literature. Here we aim to fill this gap by presenting a comparative study on how 919 thousand biomedical papers are cited by U.S. patents and by other papers over time. We observe a positive correlation between citations from patents and from papers, but there is little overlap between the two domains in either the most cited papers, or papers with the most delayed recognition. We also find that the two types of citations exhibit distinct temporal variations, with patent citations lagging behind paper citations for a median of 6 years for the majority of papers. Our work contributes to the understanding of the technological impact of papers. 相似文献
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《Journal of Informetrics》2020,14(4):101074
Demonstrating the practical value of public research has been an important subject in science policy. Here we present a detailed study on the evolution of the citation linkage between life science related patents and biomedical research over a 37-year period. Our analysis relies on a newly-created dataset that systematically links millions of non-patent references to biomedical papers. We find a large disparity in the volume of citations to science among technology sectors, with biotechnology and drug patents dominating it. The linkage has been growing exponentially over a long period of time, doubling every 2.9 years. The U.S. has been the largest producer of cited science for years, receiving nearly half of the citations. More than half of citations goes to universities. We use a new paper-level indicator to quantify to what extent a paper is basic research or clinical medicine. We find that the cited papers are likely to be basic research, yet a significant portion of papers cited in patents that are related to FDA-approved drugs are clinical research. The U.S. National Institute of Health continues to be an important funder of cited science. For the majority of companies, more than half of citations in their patents are authored by public research. Taken together, these results indicate a continuous linkage of public science to private sector inventions. 相似文献
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In citation network analysis, complex behavior is reduced to a simple edge, namely, node A cites node B. The implicit assumption is that A is giving credit to, or acknowledging, B. It is also the case that the contributions of all citations are treated equally, even though some citations appear multiply in a text and others appear only once. In this study, we apply text-mining algorithms to a relatively large dataset (866 information science articles containing 32,496 bibliographic references) to demonstrate the differential contributions made by references. We (1) look at the placement of citations across the different sections of a journal article, and (2) identify highly cited works using two different counting methods (CountOne and CountX). We find that (1) the most highly cited works appear in the Introduction and Literature Review sections of citing papers, and (2) the citation rankings produced by CountOne and CountX differ. That is to say, counting the number of times a bibliographic reference is cited in a paper rather than treating all references the same no matter how many times they are invoked in the citing article reveals the differential contributions made by the cited works to the citing paper. 相似文献