艾滋病疫苗专题文献引文特征的可视化分析

以Web of Science的艾滋病疫苗研究文献作为数据来源,利用引文分析可视化软件HistCite,找出代表艾滋病疫苗研究领域发展的重要文献,并分析文献之间引用与被引用关系和引用序列,获得引文编年图谱,梳理出艾滋病疫苗研究领域的发展规律和历史发展轨迹,为国内外相关领域的研究人员提供一定的参考。     

“可用性”研究的文献计量与引文可视化分析

利用HistCite软件对可用性研究文献进行了统计分析,理清了过去30 多年国际可用性研究文献的时间分 布,可用性研究的活跃地区、研究机构及载文期刊;通过分析引文编年图中的核心文献,揭示了可用性研究的发展历 程和演进路径,并在此过程中列举了可用性研究的热点、前沿,预测了该领域的发展趋势。     

利用HistCite对大数据领域文献进行可视化分析的研究

文章以2004-2015年 WOS 数据库平台中4860条大数据领域文献记录为样本,借助引文可视化分析工具HistCite对大数据领域文献出版时间、重要期刊以及重要著者进行统计分析,并生成该领域引文编年图。研究结果显示：商业中对于消费者、企业自身分析预测需求,多个学科领域信息挖掘技术研究探讨,以及对大数据的反思被大量关注。     

专利研究的可视化引文分析——基于图书情报的视角

借助可视化引文分析工具Hist Cite,以Web of Science核心合集的科学引文索引数据库扩展版为数据源,综合运用文献计量分析、引文分析和可视化技术,分析图书情报领域专利研究文献的数量和年代分布、国家地区和研究机构分布、核心作者、核心期刊以及当前研究的热点,并用可视化方法展示专利研究的发展历史。     

引文分析可视化研究

近几年引文分析可视化在国外得到了蓬勃的发展。本文对国外在引文时序可视化、同被引分析可视化等方面的研究中所涉及的技术和应用进行了分析,总结了引文分析可视化所采用的图形种类,对引文分析可视化研究中尚未解决的问题进行了简要的探讨。     

基于HistCite的社交媒体领域引文脉络分析

以Web of Science文献数据为样本,借助HistCite引文可视化软件,分析社交媒体领域高被引作者,绘制文献图谱,展示社交媒体领域引文脉络,分析社交媒体领域研究的发展轨迹,剖析支撑社交媒体的关键作者及学术文献。     

从引文分析的角度比较Google Scholar与Web of Science的优势与不足

从期刊被引频次的角度出发,采取实证研究的方法,选取国际权威的引文数据库Web of Science和著名的搜索引擎Google Scholar,以<美国信息科学和技术学会杂志>为文献源,对Web of Science和Google Scholar两个引文分析工具进行比较和探讨.     

引文编年可视化软件HistCite介绍与评价

介绍并评价引文分析可视化系统——HistCite的各项功能。指出HistCite能对从《SCI》、《SSCI》、《AHCI》等引文数据库中套录下来的、含有引文信息的文献数据进行计量处理并能输出重要文献、作者和期刊的列表，进而生成引文编年图和引文矩阵。该系统可以直观反映某一阶段的重要文献及它们之间的引用关系，这种方式既有利于图书馆员为用户提供参考咨询服务，也能帮助专业研究人员跟踪专业研究的动向。     

基于CSSCI的中国引文分析的可视化研究

以“引文分析” 为检索词在CSSCI中检索到 1998 - 2007年间527篇文献,3 328条引文。对这些数据进行统计和引文分析,利用NETDRAW、CITESPACE等可视化软件,绘制引文分析领域的重要作者和重要文献图,反映引文分析领域的重要人物和重要著作,展现引文分析领域的知识结构关系。     

基于引文耦合的数字图书馆研究结构可视化分析

从CSSCI数据库中下载1998-2007年关于数字图书馆领域期刊文献的题录和引文数据,利用自编的JAVA程序进行处理,计算了956篇文献间的引文耦合数量,确定了数字图书馆的研究结构和基础文献,并在此基础上利用开源可视化工具对研究结构进行了可视化,直观显示具有相同主题的文献之间的关系。     

Distributions of citations of papers of individual authors publishing in different scientific disciplines: Application of Langmuir-type function

The distribution of cumulative citations L and contributed citations L_f to individual multiauthored papers published by selected authors working in different scientific disciplines is analyzed and discussed using Langmuir-type function: y_n = y₀[1 − αKn/(1 + Kn)], where y_n denotes the total number of normalized cumulative citations l_n* and normalized contributed citations l_nf* received by individual papers of rank n, y₀ is the maximum value of y_n when n = 0, α ≥ 1 is an effectiveness parameter, and K is the Langmuir constant related to the dimensionless differential energy Q = ln(KN_c), with N_c as the number of papers receiving citations. Relationships between the values of the Langmuir constant K of the distribution function, the number N_c of papers of an individual author receiving citations and the effectiveness parameter α of this function, obtained from analysis of the data of rank-size distributions of the authors, are investigated. It was found that: (1) the quantity KN_c obtained from the real citation distribution of papers of various authors working in different disciplines is inversely proportional to (α − 1) with a proportional constant (KN_c)₀ < 1, (2) the relation KN_c = (KN_c)₀/(α − 1) also holds for the citation distribution of journals published in countries of two different groups, investigated earlier (Sangwal, K. (2013). Journal of Informetrics, 7, 487–504), and (3) deviations of the real citation distribution from curves predicted by the Langmuir-type function are associated with changing activity of sources of generation of items (citations).     

Characterizing in-text citations in scientific articles: A large-scale analysis

We report characteristics of in-text citations in over five million full text articles from two large databases – the PubMed Central Open Access subset and Elsevier journals – as functions of time, textual progression, and scientific field. The purpose of this study is to understand the characteristics of in-text citations in a detailed way prior to pursuing other studies focused on answering more substantive research questions. As such, we have analyzed in-text citations in several ways and report many findings here. Perhaps most significantly, we find that there are large field-level differences that are reflected in position within the text, citation interval (or reference age), and citation counts of references. In general, the fields of Biomedical and Health Sciences, Life and Earth Sciences, and Physical Sciences and Engineering have similar reference distributions, although they vary in their specifics. The two remaining fields, Mathematics and Computer Science and Social Science and Humanities, have different reference distributions from the other three fields and between themselves. We also show that in all fields the numbers of sentences, references, and in-text mentions per article have increased over time, and that there are field-level and temporal differences in the numbers of in-text mentions per reference. A final finding is that references mentioned only once tend to be much more highly cited than those mentioned multiple times.     

1988年我国主要中文科技期刊论文的统计与分析

为了全面了解我国科技发展的水平和准备编制中国论文引文索引以进行引证分析工作,从1988年全国3052种自然科学技术类期刊中精选具有代表性的1189种期刊作为统计源,选取论文85750篇进行统计分析。每篇论文作为一条数据,其项目包括刊名、年卷期、作者姓名、单位及类别、所在地、论文所属学科类别、文题、基金资助情况、文后引文数量等11项检索项目,并利用dBASE程序建库。分析结果:北京(14272篇)、上海(8187篇)、江苏(7058)、四川(5091篇)、湖北(4718篇)为发表论文数的前五名。在28个学科分类中,北京有23个名列第一。黑龙江省发表石油、天然气的论文最多,江苏省发表轻纺技术论文领先,辽宁省的矿业工程论文居全国第一,上海和湖北分别发表动力工程和水利技术论文最多。85750篇论文中工业技术类论文占46.32％,农林类占11.88％,基础科学占22.44％,医药类占17.58％。高等院校发表的论文占总量的51.77％,科研院所占25.95％。通过多种基金资助的论文占总量的4.4％,其中基础学科的论文占基础理论论文总量的10％以上。平均每篇文章引文数为5.4篇。     

大陆和台湾地区图书馆学期刊引文抽样调查与分析

论文从定量的角度对我国大陆和台湾地区图书馆学期刊的引文进行了抽样调查，分析了两地期刊引文在数量、类型、语种及著录格式等方面的异同。     

从引文分析看档案学与图书馆学、情报学的学科融合

从引文分析的角度,利用档案期刊论文的参考文献来研究档案学借鉴图书情报领域相关知识情况及其随时间变化的发展趋势,同时,对学科交叉部分进行词频分析,把握图情档三学科关注的共同问题。从而体现出信息化战略背景下,档案学的研究对象和研究内容的拓展和延伸。     

Google Scholar,Web of Science,and Scopus: A systematic comparison of citations in 252 subject categories

Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the differences between them. In response, this paper investigates 2,448,055 citations to 2299 English-language highly-cited documents from 252 GS subject categories published in 2006, comparing GS, the WoS Core Collection, and Scopus. GS consistently found the largest percentage of citations across all areas (93%–96%), far ahead of Scopus (35%–77%) and WoS (27%–73%). GS found nearly all the WoS (95%) and Scopus (92%) citations. Most citations found only by GS were from non-journal sources (48%–65%), including theses, books, conference papers, and unpublished materials. Many were non-English (19%–38%), and they tended to be much less cited than citing sources that were also in Scopus or WoS. Despite the many unique GS citing sources, Spearman correlations between citation counts in GS and WoS or Scopus are high (0.78-0.99). They are lower in the Humanities, and lower between GS and WoS than between GS and Scopus. The results suggest that in all areas GS citation data is essentially a superset of WoS and Scopus, with substantial extra coverage.     

从引文分析看测绘学教师的文献需求

论文选取168位武汉大学信息学院有关测绘专业的教师为研究对象，对其1994～2003年发表在维普中文科技期刊数据库收录期刊上的1025篇论文中的7228条期刊引文进行了统计和分析，旨在为图书馆文献信息资源建设提供依据．     

The overlooked citations: Investigating the impact of ignoring citations to published patent applications

A utility patent application may result in two citable documents: a published patent application (PPA) and a patent if the application is granted. Most analytic works consider only citations to the patent and ignore those to the PPA. This study gathers more than 270,000 U.S. utility patents granted in 2014 and their PPAs, and compares their citation counts up to 2018. Statistics show that citations to patents, on the average, account for less than 50 % of those to the patents and their PPAs combined together, indicating a significant underestimation to the value or impact of the patents. The degree of depreciation is worse when the time gaps between patents and their PPAs are longer, as the PPAs not only have accumulated citations for a longer period, but also individually, concurrently, and continuously receive citations after the patent is granted. This study further applies Main Path Analysis to a conventional citation network involving only citations to the patents and another network augmented with those to the PPAs, using empirical data from United States Patent and Trademark Office (USPTO) Cancer Moonshot Patent Data. The main path derived from the augmented network is almost entirely different from that of the conventional network.