Dataset Information

Bibliometric Analysis of Moxibustion Research Trends over the Past 20 Years.

ABSTRACT: OBJECTIVES:A bibliometric approach using network analysis was applied to identify the development and research trends for moxibustion. This study also examined the network hub of moxibustion research by investigating the collaborative work of organizations and authors. METHODS:Academic articles on moxibustion research published from 2000 to 2019 were retrieved from the Web of Science database. Extracted records were analyzed according to publication year, research area, journal title, country, organization, and authors. The VOSviewer program was utilized to visualize the trends in moxibustion research and to explore the influential organizations and authors. RESULTS:Analyses of 1146 original and review articles written in English demonstrated that the number of publications related to moxibustion research has increased consistently over the last 20 years. China issued the most articles in this field, and the most represented research area was integrative complementary medicine. A network analysis based on the co-occurrence and publication year of keywords identified the relevant characteristics and trends of moxibustion research. By assessing the total link strength of organizations and authors, influential organizations and authors who have contributed to moxibustion research were identified. CONCLUSIONS:The current study examined research on moxibustion using bibliometric analysis and identified a time-based development of moxibustion research and a global network hub of moxibustion research.

SUBMITTER: Park H

PROVIDER: S-EPMC7288119 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Bibliometric Analysis of Moxibustion Research Trends over the Past 20 Years.

Park Hyejin H Lee In-Seon IS Lee Hyangsook H Chae Younbyoung Y

Journal of clinical medicine 20200426 5

<h4>Objectives</h4>A bibliometric approach using network analysis was applied to identify the development and research trends for moxibustion. This study also examined the network hub of moxibustion research by investigating the collaborative work of organizations and authors.<h4>Methods</h4>Academic articles on moxibustion research published from 2000 to 2019 were retrieved from the Web of Science database. Extracted records were analyzed according to publication year, research area, journal ti ...[more]

PMID: 32357483

Similar Datasets

Project description:BACKGROUND:Natural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and increasing importance of understanding and mining big data in the medical field, NLP is becoming more crucial. OBJECTIVE:The goal of the research was to perform a systematic review on the use of NLP in medical research with the aim of understanding the global progress on NLP research outcomes, content, methods, and study groups involved. METHODS:A systematic review was conducted using the PubMed database as a search platform. All published studies on the application of NLP in medicine (except biomedicine) during the 20 years between 1999 and 2018 were retrieved. The data obtained from these published studies were cleaned and structured. Excel (Microsoft Corp) and VOSviewer (Nees Jan van Eck and Ludo Waltman) were used to perform bibliometric analysis of publication trends, author orders, countries, institutions, collaboration relationships, research hot spots, diseases studied, and research methods. RESULTS:A total of 3498 articles were obtained during initial screening, and 2336 articles were found to meet the study criteria after manual screening. The number of publications increased every year, with a significant growth after 2012 (number of publications ranged from 148 to a maximum of 302 annually). The United States has occupied the leading position since the inception of the field, with the largest number of articles published. The United States contributed to 63.01% (1472/2336) of all publications, followed by France (5.44%, 127/2336) and the United Kingdom (3.51%, 82/2336). The author with the largest number of articles published was Hongfang Liu (70), while Stéphane Meystre (17) and Hua Xu (33) published the largest number of articles as the first and corresponding authors. Among the first author's affiliation institution, Columbia University published the largest number of articles, accounting for 4.54% (106/2336) of the total. Specifically, approximately one-fifth (17.68%, 413/2336) of the articles involved research on specific diseases, and the subject areas primarily focused on mental illness (16.46%, 68/413), breast cancer (5.81%, 24/413), and pneumonia (4.12%, 17/413). CONCLUSIONS:NLP is in a period of robust development in the medical field, with an average of approximately 100 publications annually. Electronic medical records were the most used research materials, but social media such as Twitter have become important research materials since 2015. Cancer (24.94%, 103/413) was the most common subject area in NLP-assisted medical research on diseases, with breast cancers (23.30%, 24/103) and lung cancers (14.56%, 15/103) accounting for the highest proportions of studies. Columbia University and the talents trained therein were the most active and prolific research forces on NLP in the medical field.

Project description:ObjectiveAcupuncture has become popular and widely practiced in many countries around the world. Despite the large amount of acupuncture-related literature that has been published, broader trends in the prevalence and scope of acupuncture research remain underexplored. The current study quantitatively analyzes trends in acupuncture research publications in the past 20 years.MethodsA bibliometric approach was used to search PubMed for all acupuncture-related research articles including clinical and animal studies. Inclusion criteria were articles published between 1995 and 2014 with sufficient information for bibliometric analyses. Rates and patterns of acupuncture publication within the 20 year observational period were estimated, and compared with broader publication rates in biomedicine. Identified eligible publications were further analyzed with respect to study type/design, clinical condition addressed, country of origin, and journal impact factor.ResultsA total of 13,320 acupuncture-related publications were identified using our search strategy and eligibility criteria. Regression analyses indicated an exponential growth in publications over the past two decades, with a mean annual growth rate of 10.7%. This compares to a mean annual growth rate of 4.5% in biomedicine. A striking trend was an observed increase in the proportion of randomized clinical trials (RCTs), from 7.4% in 1995 to 20.3% in 2014, exceeding the 4.5% proportional growth of RCTs in biomedicine. Over the 20 year period, pain was consistently the most common focus of acupuncture research (37.9% of publications). Other top rankings with respect to medical focus were arthritis, neoplasms/cancer, pregnancy or labor, mood disorders, stroke, nausea/vomiting, sleep, and paralysis/palsy. Acupuncture research was conducted in 60 countries, with the top 3 contributors being China (47.4%), United States (17.5%), and United Kingdom (8.2%). Retrieved articles were published mostly in complementary and alternative medicine (CAM) journals with impact factors ranging between 0.7 and 2.8 in the top 20 journals, followed by journals specializing in neuroscience, pain, anesthesia/analgesia, internal medicine and comprehensive fields.ConclusionAcupuncture research has grown markedly in the past two decades, with a 2-fold higher growth rate than for biomedical research overall. Both the increases in the proportion of RCTs and the impact factor of journals support that the quality of published research has improved. While pain was a consistently dominant research focus, other topics gained more attention during this time period. These findings provide a context for analyzing strengths and gaps in the current state of acupuncture research, and for informing a comprehensive strategy for further advancing the field.

Dataset Information

Bibliometric Analysis of Moxibustion Research Trends over the Past 20 Years.

Publications

Bibliometric Analysis of Moxibustion Research Trends over the Past 20 Years.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure