Bibliometric analysis of research hotspots and development trends in selective fetal reduction

2021 ◽  
Author(s):  
Yi L. Meng ◽  
Li J. Ren ◽  
Shao W. Yin
Keyword(s):  
Bibliometric Analysis ◽  
Development Trends ◽  
Fetal Reduction ◽  
Selective Fetal Reduction ◽  
Research Hotspots

Risk of Preterm Delivery and Growth Restriction in Spontaneous and Selective Fetal Reduction after IVF-ET

2005 ◽  
Vol 83 (5) ◽  
pp. S12
Author(s):  
M. Mitwally ◽  
H. Albuarki ◽  
M.H. Fakih ◽  
F.N. Shamma ◽  
J. Ayers ◽  
...  
Keyword(s):  
Preterm Delivery ◽  
Growth Restriction ◽  
Fetal Reduction ◽  
Selective Fetal Reduction ◽  
Ivf Et

A Paradigm Shift in Healthcare Innovation as Revealed by Research Trends in Mobile Health: A Bibliometric Analysis. (Preprint)

2021 ◽  
Author(s):  
Jianfei Cao ◽  
Yeongjoo Lim ◽  
Shintaro Sengoku ◽  
Xitong Guo ◽  
Kota Kodama
Keyword(s):  
United States ◽  
Health Policy ◽  
Bibliometric Analysis ◽  
The United States ◽  
Research Trends ◽  
Annual Number ◽  
Public Healthcare ◽  
Growth Trend ◽  
Number Of Publications ◽  
Research Hotspots

BACKGROUND Smartphones have become an integral part of our lives with their unprecedented popularity and diversification of applications. The continuous upgrading of information technology has also enabled smartphones to display great potential in the field of healthcare. OBJECTIVE This study aimed to clarify the future research direction of mHealth by analyzing its research trends and latest research hotspots. METHODS This study collected mHealth-related literature published between 2000 and 2020 from the Web of Science database. Descriptive statistics of the literature were computed using Excel software. The publication trends of mHealth research were determined by analyzing the annual number of publications in the literature and annual number of publications categorized based on different countries. Finally, this study used the VOSviewer tool to construct visualization network maps of country/region collaborations and author keyword co-occurrences, and overlay visualization maps of the average publication year of author keywords to analyze the hotspots and research trends in mHealth research. RESULTS In this study, 12,593 mHealth-related research articles published between 2000 and 2020 were collected. The results showed an exponential growth trend in the number of annual publications in mHealth literature. The United States remained the leading contributor to the literature in this area (5,294/12,593, 42%), well ahead of other countries/regions. Other countries/regions also showed a clear trend of annual increases in the number of publications in mHealth literature. Regarding cooperation between countries, the four countries with the largest number of publications, the United States, the United Kingdom, Canada, and Australia, were found to cooperate more closely. The rest of the countries/regions showed a clear geographical pattern of cooperation. The keyword co-occurrence analysis of the top 100 authors formed five clusters, namely: development of mHealth medical technology and its application in various diseases, use of mHealth technology to improve basic public health and health policy, mHealth self-health testing and management in daily life, adolescent use of mHealth, and mHealth in mental health. The research trends revealed a gradual shift in mHealth research from health policy and improving public healthcare to the development and social application of mHealth technologies. CONCLUSIONS To the best of our knowledge, the most current bibliometric analysis dates back to 2016. However, the number of mHealth researches published between 2017 and 2020 exceeds the previous total. Therefore, the results of this study shed light on the latest research hotspots and research trends in mHealth research. These findings provide a useful overview of the development of the field; they may also serve as a valuable reference and provide guidance for other researchers in the field.

scholarly journals Visualizing Knowledge Evolution Trends and Research Hotspots of Personal Health Data Research: Bibliometric Analysis (Preprint)

2021 ◽  
Author(s):  
Jianxia Gong ◽  
Vikrant Sihag ◽  
Qingxia Kong ◽  
Lindu Zhao
Keyword(s):  
Health Care ◽  
Human Factors ◽  
Computer Science ◽  
Bibliometric Analysis ◽  
Focal Point ◽  
Empirical Studies ◽  
Health Data ◽  
Personal Health ◽  
Knowledge Evolution ◽  
Research Hotspots

BACKGROUND The recent surge in clinical and nonclinical health-related data has been accompanied by a concomitant increase in personal health data (PHD) research across multiple disciplines such as medicine, computer science, and management. There is now a need to synthesize the dynamic knowledge of PHD in various disciplines to spot potential research hotspots. OBJECTIVE The aim of this study was to reveal the knowledge evolutionary trends in PHD and detect potential research hotspots using bibliometric analysis. METHODS We collected 8281 articles published between 2009 and 2018 from the Web of Science database. The knowledge evolution analysis (KEA) framework was used to analyze the evolution of PHD research. The KEA framework is a bibliometric approach that is based on 3 knowledge networks: reference co-citation, keyword co-occurrence, and discipline co-occurrence. RESULTS The findings show that the focus of PHD research has evolved from medicine centric to technology centric to human centric since 2009. The most active PHD knowledge cluster is developing knowledge resources and allocating scarce resources. The field of computer science, especially the topic of artificial intelligence (AI), has been the focal point of recent empirical studies on PHD. Topics related to psychology and human factors (eg, attitude, satisfaction, education) are also receiving more attention. CONCLUSIONS Our analysis shows that PHD research has the potential to provide value-based health care in the future. All stakeholders should be educated about AI technology to promote value generation through PHD. Moreover, technology developers and health care institutions should consider human factors to facilitate the effective adoption of PHD-related technology. These findings indicate opportunities for interdisciplinary cooperation in several PHD research areas: (1) AI applications for PHD; (2) regulatory issues and governance of PHD; (3) education of all stakeholders about AI technology; and (4) value-based health care including “allocative value,” “technology value,” and “personalized value.”

Trends in Research Related to Premenstrual Syndrome and Premenstrual Dysphoric Disorder: a Bibliometric Analysis

2020 ◽  
Author(s):  
Mingzhou Gao ◽  
Hui SUN ◽  
Changlong ZHANG ◽  
Dongmei GAO ◽  
Mingqi QIAO
Keyword(s):  
Systematic Review ◽  
Menstrual Cycle ◽  
Bibliometric Analysis ◽  
Young Women ◽  
Premenstrual Syndrome ◽  
Premenstrual Dysphoric Disorder ◽  
The United States ◽  
Anxiety And Depression ◽  
Publication Number ◽  
Research Hotspots

Abstract Background The global incidence of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) is increasing, with increasing suicide reports. However, the bibliometric analysis of global research on PMS and PMDD is rare. We aimed to evaluate the global scientific output of research on PMS and PMDD and to explore their research hotspots and frontiers from 1945 to 2018 using a bibliometric analysis methodology.Methods Articles with research on PMS and PMDD between 1945 and 2018 were retrieved from the Web of Science Core Collection (WoSCC). We used the bibliometric method, CiteSpace V and VOSviewer to analyze publication years, journals, countries, institutions, authors, research hotspots, and trends. We plotted the reference co-citation network, and we used keywords to analyze the research hot spots and trends.Results We identified 2,833 publications on PMS and PMDD research from 1945 to 2018, and the annual publication number increased with time, with fluctuations. Psychoneuroendocrinology published the highest number of articles. The United States ranked the highest among the countries with the most publications, and the leading institute was UNIV PENN. Keyword and reference analysis indicated that the menstrual cycle, depression and ovarian hormones were the research hotspots, whereas prevalence, systematic review, anxiety and depression and young women were the research frontiers.Conclusions We depicted overall research on PMS and PMDD by a bibliometric analysis methodology. Prevalence and impact in young women , systematic review evaluations of risk factors, and the association of anxiety and depression with menstrual cycle phases are the latest research frontiers that will pioneer the direction of research in the next few years.

Selective fetal reduction in complicated monochorionic twin pregnancies: A comparison of techniques

2020 ◽  
Author(s):  
Shiri Shinar ◽  
Swati Agrawal ◽  
Darine El‐Chaâr ◽  
Nimrah Abbasi ◽  
Robert Beecroft ◽  
...  
Keyword(s):  
Monochorionic Twin ◽  
Fetal Reduction ◽  
Comparison Of Techniques ◽  
Twin Pregnancies ◽  
Selective Fetal Reduction
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