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| 1 | 中国科技期刊引文网络:国际影响和国内影响分析显示文摘对1991~2003年中国 SCI 论文进行了统计得到历年论文数量以及中国 SCI 论文占世界 SCI 论文份额的指数增长图。基于2001年 SCI 和 CSCD 均收录的36种中国科技期刊,用可视化技术构建了国际和国内引证网络和被引网络,从中观察到中国科技期刊在国际引证网络中的'主群'现象和'孤岛'现象,分析了中文科技期刊与中国出版的英文科技期刊在不同引文网络中的不同作用。 | 金碧辉 Loet Leydesdorff 孙海荣 张望 岑哲波 | 2005 | 中国科技期刊研究2005，16，2： | 44 |
| 2 | 中国科技期刊引文环境的可视化显示文摘以2003年中国科学技术信息研究所生产的中国科技论文引文数据库(CSTPC)收录的1576种期刊的引文数据为基础,通过特殊的程序处理,得到聚类期刊引文(即引用或被引)关系网络。应用矢量空间模型使这种网络可视化,用户可以在线获取有关结果。这种网络不仅可以表现期刊之间的专业相似性,更可以反映期刊在局部网络中的引用/被引表现。同一种期刊在不同引用/被引环境中的表现各异,我们用局部网络中期刊当年的总引用/被引次数(C)除以该网络中当年发生的总引用/被引次数(即 C/N 值,)来表示局部引用环境中各期刊的表现。聚类期刊被引网络图可以反映期刊的相对影响;引用网络图则可以反映期刊参与科学交流的积极性(简称为引用积极性)。此外,我们还将总引与刊内自引进行了区分,并用椭圆将两种引用类型进行了形象化表达。用户可以根据自己的兴趣选择种子期刊,然后利用可视化程序如 Pajek 来获得相应的引用网络图。 | 周萍 Loet Leydesdorff 武夷山 | 2005 | 中国科技期刊研究2005，16，6： | 20 |
| 3 | 美国科技霸主地位是否还在? 世界科学体系之全球视角分析显示文摘科学引文索引扩展数据库(SCI-Expanded)网络版表明,美国仍旧是科技界的霸主。最近,其论文份额的下滑主要是由于中国和其他一些亚洲国家的崛起。2006年,中国在此数据库中的论文总量紧随美国,牢牢占据第二的位置。引文方面,美国的竞争优势有所削弱,而欧盟却因为数据库的扩大获益匪浅。即使这样,美国依然在高被引论文和引文/论文比方面位列第一,并且在战略优先领域如纳米技术方面远超欧盟。在纳米技术领域,中国在论文数量及被引频次总量方面都上升为世界第二大国。 | Loet Leydesdorff, Caroline Wagner2'3 Loet Leydesdorff Caroline Wagner | 2009 | 科学观察2009，，5： | 9 |
| 4 | Visualization of Disciplinary Profiles: Enhanced Science Overlay Maps显示文摘Purpose: The purpose of this study is to modernize previous work on science overlay maps by updating the underlying citation matrix, generating new clusters of scientific disciplines, enhancing visualizations, and providing more accessible means for analysts to generate their own maps.Design/methodology/approach: We use the combined set of 2015 Journal Citation Reports for the Science Citation Index (n of journals = 8,778) and the Social Sciences Citation Index (n=3,212) for a total of 11,365 journals. The set of Web of Science Categories in the Science Citation Index and the Social Sciences Citation Index increased from 224 in 2010 to 227 in 2015. Using dedicated software, a matrix of 227 × 227 cells is generated on the basis of whole-number citation counting. We normalize this matrix using the cosine function. We first develop the citing-side, cosine-normalized map using 2015 data and VOSviewer visualization with default parameter values. A routine for making overlays on the basis of the map('wc15.exe') is available at http://gffzzcc9cb02d7b4f4bb1h0w9xo6p6qkpq66wu.ffgz.tsg.suse.edu.cn/wc15/index.htm.Findings: Findings appear in the form of visuals throughout the manuscript. In Figures 1–9 we provide basemaps of science and science overlay maps for a number of companies, universities, and technologies.Research limitations: As Web of Science Categories change and/or are updated so is the need to update the routine we provide. Also, to apply the routine we provide users need access to the Web of Science.Practical implications: Visualization of science overlay maps is now more accurate and true to the 2015 Journal Citation Reports than was the case with the previous version of the routine advanced in our paper.Originality/value: The routine we advance allows users to visualize science overlay maps in VOSviewer using data from more recent Journal Citation Reports. | Stephen Carley Alan L.Porter Ismael Rafols Loet Leydesdorff | 2017 | Journal of Data and Information Science2017，2，3： | 7 |
| 5 | The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS显示文摘Purpose: To discuss the problems arising from hierarchical cluster analysis of co-occurrence matrices in SPSS, and the corresponding solutions.Design/methodology/approach: We design different methods of using the SPSS hierarchical clustering module for co-occurrence matrices in order to compare these methods. We offer the correct syntax to deactivate the similarity algorithm for clustering analysis within the hierarchical clustering module of SPSS.Findings: When one inputs co-occurrence matrices into the data editor of the SPSS hierarchical clustering module without deactivating the embedded similarity algorithm, the program calculates similarity twice, and thus distorts and overestimates the degree of similarity.Practical implications: We offer the correct syntax to block the similarity algorithm for clustering analysis in the SPSS hierarchical clustering module in the case of co-occurrence matrices. This syntax enables researchers to avoid obtaining incorrect results.Originality/value: This paper presents a method of editing syntax to prevent the default use of a similarity algorithm for SPSS's hierarchical clustering module. This will help researchers, especially those from China, to properly implement the co-occurrence matrix when using SPSS for hierarchical cluster analysis, in order to provide more scientific and rational results. | Qiuju ZHOU Fuhai LENG Loet LEYDESDORFF | 2015 | Chinese Journal of Library and Information Science2015，，2： | 5 |
| 6 | The Scientometric Measurement of Interdisciplinarity and Diversity in the Research Portfolios of Chinese Universities显示文摘Purpose:Interdisciplinarity is a hot topic in science and technology policy.However,the concept of interdisciplinarity is both abstract and complex,and therefore difficult to measure using a single indicator.A variety of metrics for measuring the diversity and interdisciplinarity of articles,journals,and fields have been proposed in the literature.In this article,we ask whether institutions can be ranked in terms of their(inter-)disciplinary diversity.Design/methodology/approach:We developed a software application(interd_vb.exe)that outputs the values of relevant diversity indicators for any document set or network structure.The software is made available,free to the public,online.The indicators it considers include the advanced diversity indicators Rao-Stirling(RS)diversity and DIV*,as well as standard measures of diversity,such as the Gini coefficient,Shannon entropy,and the Simpson Index.As an empirical demonstration of how the application works,we compared the research portfolios of 42“Double First-Class”Chinese universities across Web of Science Subject Categories(WCs).Findings:The empirical results suggest that DIV*provides results that are more in line with one’s intuitive impressions than RS,particularly when the results are based on sampledependent disparity measures.Furthermore,the scores for diversity are more consistent when based on a global disparity matrix than on a local map.Research limitations:“Interdisciplinarity”can be operationalized as bibliographic coupling among(sets of)documents with references to disciplines.At the institutional level,however,diversity may also indicate comprehensiveness.Unlike impact(e.g.citation),diversity and interdisciplinarity are context-specific and therefore provide a second dimension to the evaluation.Policy or practical implications:Operationalization and quantification make it necessary for analysts to make their choices and options clear.Although the equations used to calculate diversity are often mathematically transparent,the specification in terms of computer code helps the analyst to further precision in decisions.Although diversity is not necessarily a goal of universities,a high diversity score may inform potential policies concerning interdisciplinarity at the university level.Originality/value:This article introduces a non-commercial online application to the public domain that allows researchers and policy analysts to measure“diversity”and“interdisciplinarity”using the various indicators as encompassing as possible for any document set or network structure(e.g.a network of co-authors).Insofar as we know,such a professional computing tool for evaluating data sets using diversity indicators has not yet been made available online. | Lin Zhang Loet Leydesdorff | 2021 | Journal of Data and Information Science2021，6，4： | 3 |
| 7 | The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government relations显示文摘 | Henry Etzkowitz Loet Leydesdorff | 2000 | Research Policy2000，，2： | 2 |
| 8 | Library and Information Science Papers Discussed on Twitter: A new Network-based Approach for Measuring Public Attention显示文摘Purpose: In recent years, one can witness a trend in research evaluation to measure the impact on society or attention to research by society(beyond science). We address the following question: can Twitter be meaningfully used for the mapping of public and scientific discourses?Design/methodology/approach: Recently, Haunschild et al.(2019) introduced a new network-oriented approach for using Twitter data in research evaluation. Such a procedure can be used to measure the public discussion around a specific field or topic. In this study, we used all papers published in the Web of Science(WoS, Clarivate Analytics) subject category Information Science & Library Science to explore the publicly discussed topics from the area of library and information science(LIS) in comparison to the topics used by scholars in their publications in this area.Findings: The results show that LIS papers are represented rather well on Twitter. Similar topics appear in the networks of author keywords of all LIS papers, not tweeted LIS papers, and tweeted LIS papers. The networks of the author keywords of all LIS papers and not tweeted LIS papers are most similar to each other.Research limitations: Only papers published since 2011 with DOI were analyzed.Practical implications: Although Twitter data do not seem to be useful for quantitative research evaluation, it seems that Twitter data can be used in a more qualitative way for mapping of public and scientific discourses.Originality/value: This study explores a rather new methodology for comparing public and scientific discourses. | Robin Haunschild Loet Leydesdorff Lutz Bommann | 2020 | Journal of Data and Information Science2020，5，3： | 2 |
| 9 | 计算机类期刊的引文环境分析显示文摘本文以中国科学技术信息研究所建立的《中国科技期刊论文与引文数据库》(CSTPCD)为基础,利用荷兰阿姆斯特丹大学Loet Leydesdorff教授开发的系列程序,将发生引用或被引关系的期刊聚集起来,然后利用可视化工具(Pajek)将期刊之间的引用,被引信息进行可视化表达。通过分析计算机学科领域的重要期刊《软件学报》和《计算机学报》的核心引用和被引环境,发现该领域的论文作者更愿意引用国际期刊,而对国内期刊论文的引用比例很小;尽管《软件学报》的影响因子略小于《计算机学报》,但前者在国内计算机科学类期刊中影响最大。有趣的是,当阈值为1%时,两种期刊在2003年的引用或被引环境中所包含的期刊数目完全一样;同样情形发生在2004年两刊的被引环境中。 | 周萍 Loet Leydesdorff | 2007 | 情报学报2007，26，6： | 2 |
| 10 | The Dynamics of Innovation:From National Systems and 'Mode 2' to a Triple Helix of University-industry Government Relations显示文摘 | Henry Etzkowitz Loet Leydesdorff | 2000 | Research Policy2000，29，： | 1 |
| 11 | Measuring the Knowledge Base of Regional Innovation Systems in Germany in Terms of a Triple Helix dynamies显示文摘 | Loet Leydesdorff Michael Fritsch | 2006 | Research Poliey2006，，12： | 1 |
| 12 | Dynamic Animations of Journal Maps:Indlcators of Structural Change and Interdisciplinary Developments 显示文摘 | Loet Leydesdorff Thomas Schank | 2008 | Journal of the American Society for Information Science and Technology2008，59，11： | 1 |
| 13 | VAD or VMBCP in multiple myeloma refractory to or relapsing after cyclophosphamide-prednison therapy ( protocol MY 85 ) 显示文摘 | Mineur P Menard JE Le Loet X | 1998 | Br J Haematol1998，103，2： | 1 |
| 14 | How are New Citation-Based Journal Indicators Adding to the Bibliometric toolbox? 显示文摘 | Loet Leydesdorff | 2009 | Journal of the American society for information science and technology2009，60，7： | 1 |
| 15 | 'Bctweenness Centrality' as an indicator of the 'Interdisciplinarity' of scientific journals显示文摘 | Loet Leydesdorff | 2007 | Journal of the Amer- ican Society for Information Science and Technology2007，58，9： | 1 |
| 16 | Effect of anakinra on functional status in patients with active rheumatoid arthritis receiving concomitant therapy with traditional disease modifying antirheumatic drugs:evidence from the OMEGA Trial显示文摘 | Le Loet X Nordstrom D Rodriguez M | 2008 | J Rheumatol2008，35，8： | 1 |
| 17 | The Triple Helix of University-Industry-Government Relations: A Laboratory for Knowledge-Based Economic Development显示文摘 | Etzkowitz Henry and Loet Leydesdorff | 1995 | EASST Re- view1995，14，1： | 1 |
| 18 | Systemic lupus erythematosus induced by anti-tumour necrosis factora therapy ; a French national survey显示文摘 | De Bandt M Sibilia J Le Loet X | 2005 | Arthritis Res Ther2005，7，3： | 1 |
| 19 | Comparative study of 6 types of criteria in adult Still's disease显示文摘 | Masson C Le Loet X Liote F | 1996 | J Rheumatol1996，23，3： | 1 |
| 20 | The Dynamics of Innovation : From National Systems and 'Model 2' to a Triple University-Industry-Governmental Relation 显示文摘 | Henry Etzkowitz Loet Leydesdorff | 2000 | Research Policy2000，，29： | 1 |
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