Bibliometric Visualization Research Articles

Mapping knowledge domains of non-biomedical modalities: A large-scale co-word analysis of literature 1987–2017

This paper presents a systematic mapping of the disparate literature on non-biomedical therapeutic modalities using co-word analysis. Non-biomedical modalities are defined in this paper as therapeutic modalities that exist in separation, but not isolation from, biomedicine. Bibliometric visualisation based on co-word analysis, a method sensitive to the configuration of socio-cognitive networks of knowledge, is employed to create a semantic topography of thirty years’ literature from across different disciplines. The proliferation of terminologies to describe non-biomedical modalities from different disciplines raises important issues about the structure of scholarly knowledge about this area, particularly with regards to domains of meaning and conceptual spaces that lay dormant within this discourse. Drawing from a bibliographic dataset of 17,163 peer-reviewed publications written in English between 1987 and 2017 (retrieved on September 31, 2018), this paper presents a rigorous map with which to navigate the highly complex and interdisciplinary literature on non-biomedical knowledge and practices. Arguing that knowledge production about non-biomedical modalities in scholarly literature resembles that of problematic networks of interest, this paper substantiates the separation from biomedicine that contradistinguishes non-biomedical modalities. It does so by analysing the semantic trajectories of the most widely used terminologies in this domain, namely traditional medicine, alternative medicine, herbal medicine, and unclassified drug. Although all equally problematic, these contested terminologies are unlikely to replace one another in any form of paradigmatic shift in the foreseeable future. Their persisting conceptual usefulness is anchored in their own respective clusters of meaning, and researchers wishing to engage in the production of knowledge in this domain should be mindful of the pitfalls associated with their terminology use. Non-biomedical modalities as a term might be better equipped to capture the diversity as well as the historical continuities and discontinuities of therapeutic traditions and practices at the margin of mainstream scientific medicine.

A bibliometric visualization of the economics and sociology of wealth inequality: a world apart?

Wealth inequality research is fragmented across different social science disciplines. This article explores the potential of interdisciplinary perspectives by investigating the thematic overlap between economic and sociological approaches to wealth inequality. To do so, we use the Web of Science citation database to identify pertinent articles on the topic of wealth inequality in each discipline (1990‒2017). On the basis of complete bibliographies of these selected articles, we construct co-citation networks and obtain thematic clusters. What becomes evident is a low thematic overlap: Economists explore the causes of wealth inequality based on mathematical models and study the interplay between inequality and economic growth. Sociologists focus mostly on wealth disparities between ethnic groups. The article identifies, however, a few instances of cross-disciplinary borrowing and the French economist Thomas Piketty as a novel advocate of interdisciplinarity in the field. The prospects of an economics-cum-sociology of wealth inequality are discussed in the conclusion.

Exploring promising vacant technology areas in a technology-oriented company based on bibliometric analysis and visualisation

ABSTRACTUnder technology convergence phenomenon and fast-changing social demands, it is inevitable to collect and analyze a large amount of information in order to determine a vacant technology area that can preempt the market. Thus, this research aims to propose a systematic approach to identifying vacant technology areas by reflecting the technological competitiveness of company. Vacant technology is identified as underdeveloped and undeveloped vacant areas for a firm in both macroscopic and microscopic view by generating a technology level map in a practical view. In addition, vacant technology can be identified as undiscovered vacant areas in a microscopic view by using generative topology mapping (GTM) and local outlier factor (LOF). In a respective view, the promising vacant areas are defined by developing various indicators that represent competitive strength, growth stage, and marketability in both macro and micro level, and novelty indicators that represent originality and marketability in the micro level. The proposed approach is applied to the information & communication technology (ICT) R&D technology classification to validate its usefulness. The results can be used to enhance the practical application of R&D technology planning, understand the current technology level, and perform future technology planning.

Co-word analysis and bibliometric visualization of translation quality literature: research topics and trends in the Chinese mainland (1997–2016)

ABSTRACTRecent years has seen a steady development of translation quality research. This paper, with the help of Bicomb (for co-word analysis), UCINET（for social network analysis）, and SPSS21.0 (for cluster analysis), has made a detailed exploration of papers on translation quality in CNKI (China National Knowledge Infrastructure) in terms of the number of papers, journal distribution, high-frequency key words, and diachronic change of key words that may help to reflect research topics and trends in the Chinese mainland in the past two decades. It also offers recommendations for further study and provides some insights for researchers on translation quality.

Review of Literature on Social Media Use: A Bibliometric Analysis

As social media has been a hot topic for researchers over the past few years, conducting some type of literature review seemed to be essential to inform the research [1]. The objective of this research is to review and assess current social media use trends by using Histcite software for bibliometric analysis and information visualization. The paper provides a detail review of related literature regarding the concept of social media use by several organizations, its definition and research gaps found in the review are also discussed. Besides the study shows the highly cited journals and authors related to social media use from 2008 to 2018. The bibliometric analysis reveals that 1232 articles using the term “social media use” have been published during the selected years. From the review conducted, it can be identified that social media use literature was covered by more than 350 journals among which “computers in human behavior” journal stands first with 65 articles. Likewise, the paper explores the highly cited authors and cited papers from social media use literature which indicates that highest numbers of papers have been written by co-authors. The h-index (that provides an index based on a list of publications ranked in descending order by the Times Cited count) of social media use literature is 45. In conclusion, this review found that researches focusing on employees social media use is very limited and rather in its infancy. Only few studies have addressed social media usage by employees.

Alzheimer's disease research: a network science approach

A limit number of studies have applied bibliometric visualisation to explore the network structure of Alzheimer's disease (AD). This paper uses CiteSpace, Carrot and VOSviewer to analyse and visualise the intellectual structure of AD, characterising, quantitatively and qualitatively, the global scientific outputs and identifying their trends. The 9,753 articles obtained from the science citation index expanded database (SCI-E), from Web-of-Science, were analysed. The publication data is analysed computationally to identify publication patterns, a rate of growth of publications, types of authorship collaboration, the most productive authors, countries, institutions, journals, keywords, the citation and keyword patterns, the hotspots and the areas of research on the AD. The paper presents a detailed analytical mapping of AD research and charts the progress of discipline with various useful parameters. The authors expect to contribute to the theory, supplying researchers with new tools and enabling practitioners to improve their knowledge about the AD evolution and trends.

Assessing the level of evidence on transfer and transition in young people with chronic conditions: protocol of a scoping review.

BackgroundLife-long specialized care is of the utmost importance to safeguard longevity as well as the quality of life in children diagnosed with a chronic condition (CC). Provision of life-long care, however, infers transfers to different settings in line with person’s development status. Young people with CC (10–25 years) will transfer care from a pediatric towards an adult-oriented care setting. As a transfer of care is associated with a change of care context, healthcare team, responsibilities, expectations, and roles, patients need to be prepared for this alteration. One type of preparatory intervention is the provision of transitional care. Transition prepares adolescents for the responsibilities associated with adult care and age through support, education, skills demonstration, and guidance. The past decades, increasing attention has been paid towards the concept of transfer and transition, both in clinical practice and research. Numerous consensus papers have been established, emphasizing the need for the establishment of a transition program for young patients with CC. To date, it remains, however, unclear what the overall level of evidence is on transfer and transition in this population. This scoping review aims to analyze and determine the level of evidence of published literature on transfer and transition of young people diagnosed with CC.MethodMEDLINE, CINAHL, Scopus, and Web of Science databases will be searched for relevant publications. Any publication in English, Spanish, German, or French, related to transfer and/or transition in young people with CC will be included. A three-staged approach will identify relevant papers, comprising systematic database searches, application of snowball method, and citation searching. Study selection will be performed through screening of titles/abstracts followed by a full-text assessment using a standardized selection form. Data extraction will be performed by two reviewers independently using a pilot-tested, standardized form. Descriptive statistics and content analysis will be applied to present the results. Bibliometric visualization techniques will be performed with VOS viewer®.DiscussionOur review will map the overall level of evidence of published literature on transfer and transition in young people with CC. It will provide guidance for future research initiatives, clinical practice, and policy makers.Electronic supplementary materialThe online version of this article (doi:10.1186/s13643-016-0344-z) contains supplementary material, which is available to authorized users.

Creating a Self-Plagiarism Research Topic Typology through Bibliometric Visualisation

Self-plagiarism, textual recycling and redundancy seemed to be controversial and unethical; however some questions about its definition are still open. The objective in this paper presented study was to use bibliometric analysis to synthesise and visualize the research literature production and derive a typology of self-plagiarism research. Five topics emerged: Self-plagiarism, Institutional self-plagiarism, Self-plagiarism and ICT, Self-plagiarism in academic writing, Self-plagiarism in science. The state of the art topics seem to be “social medium”, “virtual world”, “face book”, “sociomateriality”, “knowledge sharing”, “open access”, “institutional repository”, “retraction” and “responsible conduct”.

Research Fronts and New Applications of RFID Technology A Bibliometric Analysis of the Research Literature

The master thesis presents an analysis of the research literature about radiofrequency identification (RFID). It consists of a theoretical part and a practical part. The theoretical part explains the technology behind RFID and shows the existing application spectrum of this diverse and prominent technology. It also discusses the norms and standards in this area. Furthermore the theoretical part contains a short introduction into scientometrics which is the basis for the following analysis. The practical part represents the analysis, which was conducted with the bibliometric visualisation software Bibliometric Technology Monitoring (BibTechMon). With this software knowledge inherent in the analysed data can be discovered. BibTechMon was developed at the Austrian Institute of Technology (AIT) which was also a cooperation partner of this master thesis. For this analysis 8,994 bibliographic records have been analysed. The data was retrieved from “Web of Science”. In the main part of the thesis the research fronts of RFID technology are identified and on this basis future application domains are derived.

Toward a taxonomy of career studies through bibliometric visualization

One of the greatest strengths and liabilities of the career field is its diversity. This diversity allows for wide coverage of relevant career dynamics across the lifespan and across levels of analysis. However, this diversity also reflects fragmentation, with career scholars failing to appreciate how the insights from other thought worlds can advance their own work. Using advanced bibliometric mapping techniques, we provide a systematic review of the 3141 articles on careers published in the management literature between 1990 and 2012. In doing so, we (1) map key terms to create a systematic taxonomy of career studies within the field of management studies, (2) provide a synthetic overview of each topic cluster which extends prior reviews of more limited scope, and (3) identify the most highly influential studies on careers within each cluster. Specifically, six local clusters emerged — i.e., international careers, career management, career choice, career adaptation, individual and relational career success, and life opportunities. To classify a broad range of research opportunities for career scholars, we also create a “global” map of 16,146 career articles from across the social sciences. Specifically, six global clusters emerged — i.e., organizational, individual, education, doctorate careers, high-profile careers, and social policy. We describe and compare the clusters in the map with an emphasis on those avenues career scholars in management have yet to explore.

Characterization of the peer review network at the Center for Scientific Review, National Institutes of Health.

The National Institutes of Health (NIH) is the largest source of funding for biomedical research in the world. This funding is largely effected through a competitive grants process. Each year the Center for Scientific Review (CSR) at NIH manages the evaluation, by peer review, of more than 55,000 grant applications. A relevant management question is how this scientific evaluation system, supported by finite resources, could be continuously evaluated and improved for maximal benefit to the scientific community and the taxpaying public. Towards this purpose, we have created the first system-level description of peer review at CSR by applying text analysis, bibliometric, and graph visualization techniques to administrative records. We identify otherwise latent relationships across scientific clusters, which in turn suggest opportunities for structural reorganization of the system based on expert evaluation. Such studies support the creation of monitoring tools and provide transparency and knowledge to stakeholders.

Mapping patient safety: a large-scale literature review using bibliometric visualisation techniques

BackgroundThe amount of scientific literature available is often overwhelming, making it difficult for researchers to have a good overview of the literature and to see relations between different developments. Visualisation...

Evaluating patterns of co-operation: application of a bibliometric visualisation tool to the Fourth Framework Programme and the Transport Research Programme

Networks of collaboration have been set up within the European Union's Fourth Framework Programme (FP4) by applying co-occurrence analysis and visualisation in two-dimensional knowledge maps. The focus of the analysis is on the patterns of co-operation and collaboration in research networks within FP4, involving the industrial, research and education sectors of all EU-Member States. The aggregate situation of FP4, and the Transport Research Programme in particular, are examined to identify features within patterns of co-operation of relevance to European research. The methodology is summarised, and potential for future research evaluation within the European Research Area is assessed. Copyright , Beech Tree Publishing.