Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis
This approach provides a comprehensive knowledge panorama of research productivity in mHealth for diabetes, identifying new insights and opportunities for research and development and innovation, including collaboration with other entities, new areas of specialization, and human resource development. The findings obtained are useful for decision-making in policy planning, resource allocation, and identification of research opportunities, benefiting researchers, health professionals, and decision makers in their efforts to make significant contributions to the advancement of diabetes science.
Authors
- Marisela Rodríguez-Salvador (ORCID: https://orcid.org/0000-0002-5206-3447)
- Yuh‐Shan Ho (ORCID: https://orcid.org/0000-0002-2557-8736)
- Pedro F. Castillo-Valdez (ORCID: https://orcid.org/0000-0002-5764-3045)
Institutions
- Tecnológico de Monterrey (MX)
Publication Details
- Journal
- JMIR Diabetes
- Published
- 2024-08-22
- DOI
- https://doi.org/10.2196/52196
- Citations
- 1
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.85
Funders
- Sistema Nacional de Investigadores