高校情报学研究状况的计量评价--武汉大学、南京大学、北京大学情报学论文的统计分析   总被引：1，自引：0，他引：1  

周有芬  孙建军 《新世纪图书馆》2005,(2):11-14

论文利用文献计量学方法，对三所重点高校在情报学核心期刊上发表的论文进行文献数量分布、研究主题分布、发文被引和自引等方面的计量分析，以评价三所高校在情报学领域的研究热点、学科劳动组织和学科生产率。  相似文献   

人为因素对科技期刊影响因子评价指标的影响   总被引：7，自引：1，他引：6  

董建军 《编辑学报》2008,20(4):365-366

讨论参考文献引用行为的人为干扰和一稿多投重复发表及抄袭发表对文献计量学引文评价体系的破坏作用,剖析人为因素对影响因子计算的干扰作用.倡导人们要尊重作者写作中的引用行为,严禁限制和规定作者引用行为;建议相同学科期刊编辑部之间建立联系,杜绝重复发表和抄袭发表的出现.促使参考文献的引用和评价体系步入正轨.  相似文献   

Q指数——一种考虑了时间因素的新型h指数     

龙艺璇  赵庆峰  赵星辉 《图书情报工作》2017,61(7):91-95

[目的/意义] 针对当前研究主体评价存在的缺陷,对已有h指数进一步完善,使得对研究主体的评价更加公平公正。[方法/过程] 在h指数基础上,创新性地考虑时间因素,提出一种新型指数Q指数。以随机选取的数理科学领域的四位学者为例,通过计算四位学者的Q指数验证该指数的实用性和可靠性。[结果/结论] 结果显示,Q指数的变化过程可以反映出研究主体的发展趋势。因此Q指数可以作为人才发现、聘用教师、评定职称的依据,并引导科研人员朝科学健康的方向发展。  相似文献   

首次被引速度指数的改进及实证研究——以作者首引评价为例     

齐燕 《图书情报工作》2017,61(24):114-122

[目的/意义]首次被引速度是反映文献及其作者或承载期刊的影响力的重要维度,也在一定程度上决定了后续被引情况。尝试通过一些改进工作克服部分现有评价指标存在的问题,如评价结果区分度过小甚至错误、应用受限,以及不适应出版周期缩短的现实趋势等。[方法/过程]基于文献引用详细信息考察从计时单元细化进行指标改进的可行性,对现有研究中的两类指标进行改进,提出评估首次被引速度的新指标：S类指数（包括S_F、Sz指数）和FM指数。考虑到要达到一定的数据量特定学者的发文时间跨度通常相对较大进而数据特征更为丰富的特点,选择他人同主题研究中的我国图书情报与文献学领域10名科研人员为研究对象进行实证研究,在CNKI引文数据库中获取324篇文献的首次施引文献,基于"被引-首引文献对"的年度或月度的时间差进行相应指标的计算。[结果/结论]从10位学者的新旧指数的评估结果看,相对于现有研究指标,新的FM指数具有非常显著的区分度及精细度的提升;新的S类指数具有与h指数相近的评价效力,同时其计时数据的客观、稳定的特性使其具有比传统S指数相对更大的应用空间;而且原始数据的获取对数据库没有过多要求,仅需进行一些数据处理和运算的编程工作,具有较大的可行性。  相似文献   

基于全代引证网络的高影响力专利知识扩散特征研究     

康旭东  贾汐玥  邓乐乐  杨中楷 《图书情报工作》2022,66(22):83-94

［目的/意义］ 基于专利的全代引证网络对专利进行分类,对高影响力专利的知识扩散特征进行分析,为专利影响力的认识和评估提供重要参考。［方法/过程］ 以生物学家悉尼·布伦纳的专利为例,研究其专利和前向引证专利生成的专利全代引证网络,根据专利的直接引证数量和引证长度两个对专利扩散发挥重要作用的因素将专利分为四类,将具有高被引数量长引证路径的专利定义为高影响力专利,对这种专利的知识扩散特征进行分析。［结果/结论］ 研究发现,在专利的全代引证网络中"关键专利""重要专利"和"隐藏的高影响力专利"对专利的扩散影响巨大,全代引证网络中专利的领域变化也体现了知识的流动现象,知识扩散速度可以通过数字直接刻画专利时序网络特点。结合研究结果,对高影响力专利的特点有了更具体的认识,并为高影响力专利的评价提出新的思路。  相似文献   

社会网络分析法在论文合作网中的应用研究   总被引：21，自引：4，他引：17  

刘蓓  袁毅  BOUTIN Eric 《情报学报》2008,27(3)

社会网络分析在情报学中的应用有多个层次:通过对研究者合作发文的网络分析,发现研究人员合作的紧密程度;通过对团队合作的时序对比,发现团队的稳定性及变化;通过共词分析,发现隐藏在真实关系网背后隐藏的关系网络;通过引文网络追踪知识积累与发现的过程、评价学术成果、评价作者学术水平.依据该方法,本文对中国情报学进行了分析,从中发现了一些传统研究方法难以发现的现象和规律.  相似文献   

论期刊影响因子人为操纵的识别     

刘雪立 《编辑学报》2018,30(1):98-101

近年来,期刊影响因子的人为操纵受到学术界广泛关注,期刊过度自引成为人为操纵影响因子的重要手段.期刊自引率是识别影响因子人为操纵的敏感指标,但对小集团内部期刊互引和其他形式人为操纵的识别却无能为力.在该研究中,深度挖掘了自引率、扩散因子、被引半衰期、开放因子和互引指数在期刊影响因子人为操纵识别中的应用.  相似文献   

Assessment of KU Libraries’ Slavic & Eurasian Collection: Purpose,Process, and Potential     

Jon C. Giullian  Amalia Monroe-Gulick 《Slavic & East European Information Resources》2017,18(1-2):49-66

This paper discusses collection-related assessment projects that were conducted in 2013–2014 by the University of Kansas (KU) Libraries’ International Collections librarians in cooperation with librarians for assessment and resource sharing. While these assessment projects were undertaken in an effort to strengthen the library reports for KU’s Title VI National Resource Center (NRC) grant applications, which were submitted by KU’s area studies centers, the results also have implications for collection development work. The article begins with background about the NRC grants and explains why and how these assessment projects developed. Highlights of results from each assessment project are presented in the following order: assessment of the research needs of area studies faculty and graduate students at KU; citation patterns (2005–2013) of area studies, and more specifically, Slavic and Eurasian studies faculty at KU; and resource sharing data for the Slavic and Eurasian collection 2011–2013. The article concludes with a discussion about how the assessment data inform collection development practices and decisions.  相似文献   

Comparing scientific and technological impact of biomedical research     

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   

Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network     

Inchae Park  Byungun Yoon 《Journal of Informetrics》2018,12(4):1199-1222

As technological convergence has recently become a mainstream innovation trend, technological opportunities need to be explored in heterogeneous technology fields. Most of the previous convergence studies have taken a retrospective view in measuring the degree of convergence and monitoring the converging trends. This paper proposes a quantitative future-oriented approach to technological opportunity discovery for convergence using patent information. In a future-oriented approach, technological opportunities for convergence are suggested by predicting potential technological knowledge flows (TKFs) between heterogeneous fields. The potential TKFs are predicted by a link prediction method in a directed network, which is suggested in this paper to represent the direction of the predicted TKFs by adapting the concept of bibliographic coupling and edge-betweenness centrality. Converging technological opportunities are proposed as incremental and radical technological opportunities by extracting the potential increased knowledge flow links and emerging knowledge flow links. Moreover, the direction and themes of the predicted potential TKFs are provided as technological opportunities for convergence. As an illustration of the proposed method, the technological opportunities between biotechnology (BT) and information technology (IT) are explored. Firms and researchers can use the proposed method to seek out new technological opportunities from various technologies so that R&D policymakers can plan new R&D projects on technological convergence.  相似文献