Search Results (1 to 10 of 726 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 298 Journal of Medical Internet Research
- 93 JMIR Public Health and Surveillance
- 64 JMIR mHealth and uHealth
- 63 JMIR Medical Informatics
- 53 JMIR Formative Research
- 38 JMIR Research Protocols
- 20 JMIR Serious Games
- 12 Online Journal of Public Health Informatics
- 11 JMIR Aging
- 10 Interactive Journal of Medical Research
- 10 JMIR Mental Health
- 9 JMIR Human Factors
- 8 JMIR Medical Education
- 6 JMIR AI
- 6 JMIR Dermatology
- 5 JMIR Cancer
- 3 JMIR Biomedical Engineering
- 3 JMIR Diabetes
- 2 JMIR Infodemiology
- 2 JMIR Nursing
- 2 JMIR Pediatrics and Parenting
- 2 JMIR Perioperative Medicine
- 1 Asian/Pacific Island Nursing Journal
- 1 Iproceedings
- 1 JMIR Cardio
- 1 JMIR Data
- 1 JMIR XR and Spatial Computing (JMXR)
- 1 JMIRx Med
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 Journal of Participatory Medicine
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section

Social Media and eHealth Literacy Among Older Adults: Systematic Literature Review
In addition, the study by Wu and Yu [14] was the only study that specifically examined older adults’ preferences for social media platforms. Their findings revealed that the most commonly used social media feature among older adults was instant text messaging. Unlike younger generations, who tended to use a wide variety of apps, older adults preferred a limited selection of platforms, often opting for those they were already familiar with.
J Med Internet Res 2025;27:e66058
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section

AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis
J Med Internet Res 2025;27:e67922
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section