Estimate of global research trends and performance in family therapy in Social Science Citation Index

What Do We Know About EMDR Therapy Research? A Bibliometric Analysis

Bibliometric analysis is a quantitative method designed to analyze large volumes of scientific output data and to map the intellectual landscape of a specific area of knowledge by describing its scientometric indicators (e.g., number of publications and citations, etc.) and structural relationships (e.g., co-authorship patterns, keyword clustering, etc.) between its different components. In this article, methods of bibliometric analysis are applied to the corpus of publications on eye movement desensitization and reprocessing (EMDR) therapy research. A total of 1,150 papers found in the Web of Science database and published between 1994 and early 2021 were included in the analysis. Retrieved bibliometric data was analyzed and visualized using VOSViewer software. Temporal distribution of publications (number of publications per year); spatial distribution of publications (author affiliations); top journals; impact of EMDR research as assessed by highly cited publications; author co-citation as a measure of collaboration; literature co-citation as a measure of internal structure; and key terms were analyzed. The results of the study provide the readers with a broad, “one-stop overview” of the current state of research on EMDR therapy, with a focus on the quantitative characteristics of its output and on the key represented topics.

Research in Integrated Health Care and Publication Trends from the Perspective of Global Informatics

BACKGROUND

Integrated care has gained popularity in recent decades and is advocated by the World Health Organization. This study examined the global progress, current foci, and the future of integrated care.

METHODS

We conducted a scientometric analysis of data exported from the Web of Science database. Publication number and citations, co-authorship between countries and institutions and cluster analysis were calculated and clustered using Histcite12.03.07 and VOS viewer1.6.4.

RESULTS

We retrieved 6127 articles from 1997 to 2016. We found the following. (1) The United States, United Kingdom, and Canada had the most publications, citations, and productive institutions. (2) The top 10 cited papers and journals were crucial for knowledge distribution. (3) The 50 author keywords were clustered into 6 groups: digital medicine and e-health, community health and chronic disease management, primary health care and mental health, healthcare system for infectious diseases, healthcare reform and qualitative research, and social care and health policy services.

CONCLUSIONS

This paper confirmed that integrated care is undergoing rapid development: more categories are involved and collaborative networks are being established. Various research foci have formed, such as economic incentive mechanisms for integration, e-health data mining, and quantitative studies. There is an urgent need to develop performance measurements for policies and models.

[The literature of diagnosis and therapy]

This analysis is based on papers published in periodicals, in the period 1975-2013 with title words referring to diagnosis or therapy. The literature of both topics is growing dynamically and in an ever accelerating pace. At the same time, the two topics appear to get more and more separated, except for a part of the German-language literature. The share of therapy-oriented literature is increasing and its citation rate is higher, although 9 of the 10 most cited papers are from the topic of diagnostics. The Hungarian literature (papers having at least one Hungarian author) appeared to be proportional and balanced.

Global informetric perspective studies on translational medical research

Background

Translational medical research literature has increased rapidly in the last few decades and played a more and more important role during the development of medicine science. The main aim of this study is to evaluate the global performance of translational medical research during the past few decades.

Methods

Bibliometric, social network analysis, and visualization technologies were used for analyzing translational medical research performance from the aspects of subject categories, journals, countries, institutes, keywords, and MeSH terms. Meanwhile, the co-author, co-words and cluster analysis methods were also used to trace popular topics in translational medical research related work.

Results

Research output suggested a solid development in translational medical research, in terms of increasing scientific production and research collaboration. We identified the core journals, mainstream subject categories, leading countries, and institutions in translational medical research. There was an uneven distribution of publications at authorial, institutional, and national levels. The most commonly used keywords that appeared in the articles were “translational research”, “translational medicine”, “biomarkers”, “stroke”, “inflammation”, “cancer”, and “breast cancer”.

Conclusions

The subject categories of “Research & Experimental Medicine”, “Medical Laboratory Technology”, and “General & Internal Medicine” play a key role in translational medical research both in production and in its networks. Translational medical research and CTS, etc. are core journals of translational research. G7 countries are the leading nations for translational medical research. Some developing countries, such as P.R China, also play an important role in the communication of translational research. The USA and its institutions play a dominant role in the production, collaboration, citations and high quality articles. The research trends in translational medical research involve drug design and development, pathogenesis and treatment of disease, disease model research, evidence-based research, and stem and progenitor cells.