This paper is in the following e-collection/theme issue:

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (523)

Published on in Vol 9, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31097, first published .
Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

Authors of this article:

Jianfei Cao1 Author Orcid Image ;   Yeongjoo Lim2 Author Orcid Image ;   Shintaro Sengoku3 Author Orcid Image ;   Xitong Guo4 Author Orcid Image ;   Kota Kodama1 Author Orcid Image
Article Authors Cited by (21) Tweetations (2) Metrics

Journals

  1. He X, Peng C, Xu Y, Zhang Y, Wang Z. Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis. JMIR Medical Informatics 2022;10(4):e33842 View
  2. Ruetsch C, Davis T, Liberman J, Velligan D, Robinson D, Jaeger C, Carpenter W, Forma F. Prescriber Attitudes, Experiences, and Proclivities Toward Digital Medicine and How They Influence Adoption of Digital Medicine Platforms. Neuropsychiatric Disease and Treatment 2021;Volume 17:3715 View
  3. Cwintal M, Ranjbar H, Bandamiri P, Guadagno E, Osmanlliu E, Poenaru D. A rapid review for developing a co-design framework for a pediatric surgical communication application. Journal of Pediatric Surgery 2023;58(5):879 View
  4. Cao J, Zhang G, Liu D. The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective. Healthcare 2022;10(3):479 View
  5. Wu C, Huang C, Wang Y, Islam M, Kung W, Weng Y, Su C. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(6):e35747 View
  6. Doarn C. The Changing Landscape of Health Care. Telemedicine and e-Health 2021;27(12):1323 View
  7. Rodríguez-González P, Iglesias D, Fernandez-Rio J, Gao Z. Effectiveness of interventions using apps to improve physical activity, sedentary behavior and diet: An umbrella review. Complementary Therapies in Clinical Practice 2023;50:101711 View
  8. Cao J, Kurata K, Lim Y, Sengoku S, Kodama K. Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model. International Journal of Environmental Research and Public Health 2022;19(22):15156 View
  9. Li S, Halabi R, Selvarajan R, Woerner M, Fillipo I, Banerjee S, Mosser B, Jain F, Areán P, Pratap A. Recruitment and Retention in Remote Research: Learnings From a Large, Decentralized Real-world Study. JMIR Formative Research 2022;6(11):e40765 View
  10. Aydin A, Gursoy A. Breast cancer-related apps in Google Play and App store: evaluate their functionality and quality. Journal of Cancer Survivorship 2023;17(4):1251 View
  11. Shen A, Francisco L, Sen S, Tewari A. Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks. Journal of Medical Internet Research 2023;25:e43664 View
  12. Moffit R, McTigue K, Conroy M, Kriska A, Fischer G, Ricci E, Dunstan D, Deperrior S, Rao N, Burke L, Rockette-Wagner B. Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement. American Journal of Health Promotion 2023;37(8):1100 View
  13. Noda K, Lim Y, Sengoku S, Kodama K. Global biomarker trends in Alzheimer’s research: A bibliometric analysis. Drug Discovery Today 2023;28(8):103677 View
  14. Pinto A, Martinho D, Matos J, Greer D, Vieira A, Ramalho A, Marreiros G, Freitas A. Recommendation systems to promote behavior change in patients with diabetes mellitus type 2: A systematic review. Expert Systems with Applications 2023;231:120726 View
  15. Li M, Chen Y, Hu X, Wang S. The preferences for the telemedicine and standard health care services from the perspective of the patients with schizophrenia. BMC Psychiatry 2023;23(1) View
  16. Cheng T, Yu-Chieh Ho S, Chien T, Chou W. Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis. Medicine 2023;102(38):e35082 View
  17. Basumatary B, Gul S, Verma M. Social attention to the scientific publications on mHealth research during Covid-19 outbreak: An altmetric study. Iberoamerican Journal of Science Measurement and Communication 2023;3(2) View
  18. Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behavioral Sciences 2024;14(6):498 View
  19. Feng H, Kurata K, Cao J, Kageyama I, Niwa M, Atsushi A, Kodama K. Telemedicine Research Trends 2001–2022: Bibliometric Analysis-Research Cooperation between China and Other Countries Before and After the COVID-19 Pandemic- (Preprint). Interactive Journal of Medical Research 2024 View

Books/Policy Documents

  1. Cao J, Guo X. Mobile Health (mHealth). View
  2. Niwa M, Hara Y. Mobile Health (mHealth). View