该研究基于Web of Science，分析了2000年至2014年发表的758篇文章。我们的分析包括出版物的产出，作者，机构和国家的生产模式，引用和合作。进行了一项社会网络分析，以确定研究人员和机构的主要群体以及各国之间的合作。该研究显示，1097名作者和453个机构为该杂志做出了贡献。合作指数逐步上升，研究期间的平均合作程度为1.98。大多数论文是由大学附属专业人员撰写的。高被引论文涉及在线和数字环境、电子学习系统、移动服务、Web 2.0和引文分析。这项工作是在图书馆学和情报学的领先期刊，在线信息评论的文献计量学分析。
英文摘要：
The study, based on the Web of Science, analyses 758 articles published from 2000 to 2014. Our analysis includes the publications' output, authorship, institutional and country patterns of production, citations and collaboration. A Social Network Analysis was conducted to identify primary groups of researchers and institutions and the collaboration between countries. The study reveals that 1097 authors and 453 Institutions have contributed to the journal. The collaboration index has increased progressively, and the average degree of collaboration during the study period was 1.98. The majority of the papers were contributed by professionals affiliated with a university. Highly cited papers address online and digital environments, e-learning systems, mobile services, web 2.0 and citation analyses. This work is a bibliometric analysis of a leading journal in library and information science, Online Information Review.
Scientific collaboration at international level has increased manifolds during last two decades. Collaboration is not only associated with higher research productivity but has also been found to be positively correlated with impact. Considering the benefits and advantages of international collaboration for the national science and technology systems of a country, policymakers in different countries have designed programs to promote international collaboration in science. This paper attempts to measure and characterize the international collaboration patterns in Indian scientific research. Rese…
Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources required to address the global challenge, which might facilitate the generation of novel ideas. Our analysis of 98,981 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pre-trained on 29 million PubMed articles, and first-time collaboration increased after the outbreak of COVID-19, and international collaboration…
Every year many scholars are funded by the China Scholarship Council (CSC). The CSC is a funding agency established by the Chinese government with the main initiative of training Chinese scholars to conduct research abroad and to promote international collaboration. In this study, we identified these CSC-funded scholars sponsored by the China Scholarship Council based on the acknowledgments text indexed by the Web of Science. Bibliometric data of their publications were collected to track their scientific mobility in different fields, and to evaluate the performance of the CSC scholarship in p…
Costly Collaborations: The Impact of Scientific Fraud on Co-authors' Careers
近年来，几起重大的科学造假案震惊了科学界。每年撤稿的数量也大幅增加，特别是在生物医学领域，科学不端行为占这些撤稿的一半以上。假设被撤回论文的合著者受到其同事不当行为的影响，本研究的目的是提供生物医学研究中撤回对合著者研究生涯影响的经验证据。使用来自Web of Science（WOS）的数据，我们测量了293篇撤回文章的1，123位合著者在撤回前后五年内的生产力，影响力和合作。我们发现了明确的证据表明，合作者确实会因同事的不当行为而遭受后果，并且因欺诈而撤回的后果比因错误而撤回的后果更严重。我们的研究结果还表明，这些后果的程度与被撤回论文的合著者的排名密切相关，第一作者感受最强烈，其次是最后一位作者，而对中间作者的影响则不那么重要。
Two Decades of Scientific Misconduct in India: Retraction Reasons and Journal Quality among Inter-country and Intra-country Institutional Collaboration
Trends in scientific research in Online Information Review. Part 2. Mapping the scientific knowledge through bibliometric and social network analyses
Objective.通过对《联机信息评论》的关键词进行文献计量学分析和对共词进行社会网络分析，分析该期刊的知识结构和科研动态。方法.对2000年至2014年Web of Science数据库中的758篇论文中的关键词进行了分析。我们进行了主题分析，考虑到分配给论文的关键词。还进行了社会网络分析，以确定关键词（共词）之间的共现次数。Pajek软件用于创建和图形化可视化网络。结果互联网是使用频率最高的关键词（n=219），也是网络中最核心的共词，与信息检索、搜索引擎、万维网、图书馆和用户有很强的相关性。以在线信息评论为代表的信息科学是一门不断发展的学科，它借鉴了相对广泛的学科文献。虽然《在线信息评论》似乎有明确的研究主题，但该杂志也迅速变化，以接受新的研究方向。
Team chemistry is the holy grail of understanding collaborative human behavior, yet its quantitative understanding remains inconclusive. To reveal the presence and mechanisms of team chemistry in scientific collaboration, we reconstruct the publication histories of 560,689 individual scientists and 1,026,196 duos of scientists. We identify ability discrepancies between teams and their members, enabling us to evaluate team chemistry in a way that is robust against prior experience of collaboration and inherent randomness. Furthermore, our network analysis uncovers a nontrivial modular structure…
Publication Trend in an Indian Journal and a Pakistan Journal: A Comparative Analysis using Scientometric Approach
对印度《信息源与服务》（IJISS）和巴基斯坦《图书馆与情报学杂志》（Pakistan Journal of Library and Information Science）上发表的146篇和59篇研究论文进行了科学计量学分析。本研究考虑了2011年至2017年的7卷包含14期的IJISS和7卷包含8期的PJLIS。分析了论文的来稿数量、作者模式和作者生产率、平均引文、平均文章长度、平均关键词和合作论文。在IJISS的146篇稿件中，只有39篇是单作者的，其余的是多作者的，作者之间的合作度为0.73，作者之间的合作度为周;在PJLIS的59篇稿件中，只有18篇是单作者的，其余的是多作者的，作者之间的合作度为0.69，作者之间的合作度为周。研究表明，作者生产率为0.53（IJISS）和0.50（PJLIS），并以印度和巴基斯坦作者为主。
RetraLytix: An Integrated Analytics Dashboard for Mapping Global Trends in Scientific Retractions
School of Engineering & Technology, BML Munjal University（BML穆尔贾大学工程与技术学院）；Center for Advanced Data & Computational Science, BML Munjal University（BML穆尔贾大学先进数据与计算科学中心）
Academic migration is the change of host institution by a researcher, typically aimed at achieving a stronger research profile. Scientific features such as the number of collaborations, the productivity and its research impact tend to be directly affected by such movements. In this paper, we analyse the dynamics of the collaboration network of researchers as they move from an institution to the next one. We specifically highlight cases where they increase and when they shrink, and quantify the dependency between the collaboration networks before and after such a movement. Finally, we drill dow…
Bibliometric analysis of the world scientific production in Chemical Engineering during 2000-2011. Part 3: Analysis of research trends and hot topics
化学工程领域的科学生产的综合文献计量学分析已经进行了使用Web of Science数据库在2000-2011年期间通过三个互补的研究。第三部分分析了总科技产出和1,000篇被引用最多的出版物的文章标题、关键词加和作者关键词中的词的分布。化学工程的主要领域已经确定;它们主要涉及化学反应工程，如催化，反应器，动力学和单元操作，如吸附。此外，该领域共确定了10个热点：氢作为新的能源载体，废水处理，二氧化碳（捕获和封存），生物柴油，纳米颗粒，生物柴油，纳米管，离子液体，高级氧化工艺，膜，燃料电池和使用生物质作为原材料（例如生物乙醇，能源生产等）。所获得的结果表明，通过被引用最多的出版物，可以更容易地分析专题领域和研究趋势，大大减少了这些分析所需的时间。文章标题中的词，关键词加上作者关键词是互补的，但是，作者关键词被认为是最有用的数据来源。与其他策略相比，作者关键词对于识别研究领域和趋势更有价值，并且要分析的总字数更低。无论如何，作者建议对该领域专家获得的结果进行修订，以避免不准确的结果并获得最有意义的信息。
Co-leading Teams Drive Scientific Novelty in Large-scale Research Infrastructures
City University of Hong Kong（香港城市大学）；National Science Library, Chinese Academy of Sciences（中国科学院国家科学图书馆）；University of Chinese Academy of Sciences（中国科学院大学）
Incorporating fresh members in teams is considered a pathway to team creativity. However, whether freshness improves team performance or not remains unclear, as well as the optimal involvement of fresh members for team performance. This study uses a group of authors on the byline of a publication as a proxy for a scientific team. We extend an indicator, i.e., team freshness, to measure the extent to which a scientific team incorporates new members, by calculating the fraction of new collaboration relations established within the team. Based on more than 43 million scientific publications cover…
Significant attention in the financial industry has paved the way for blockchain technology to spread across other industries, resulting in a plethora of literature on the subject. This study approaches the subject through bibliometrics and network analysis of 6790 records extracted from the Web of Science from 2014-2020 based on blockchain. This study asserts (i) the impact of open access publication on the growth and visibility of literature, (ii) the collaboration patterns and impact of team size on collaboration, (iii) the ranking of countries based on their national and international coll…
Humans collaborate in different contexts such as in creative or scientific projects, in workplaces and in sports. Depending on the project and external circumstances, a newly formed collaboration may include people that have collaborated before in the past, and people with no collaboration history. Such existing relationships between team members have been reported to influence the performance of teams. However, it is not clear how existing relationships between team members should be quantified, and whether some relationships are more likely to occur in new collaborations than others. Here we…
