JMIR is the leading peer-reviewed eHealth/mHealth journal (Impact Factor: 4.7),
ranked #1 in Medical Informatics, and #2 in Health Sciences/Health Services Research
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Current Statistics
| Number of readers subscribed to email notifications | 48312 |
| Number of registered authors | 26307 |
| Number of registered peer-reviewers | 5444 |
| Number of members | 356 |
| Submitted manuscripts currently under peer-review | 149 |
| Current acceptance rate (includes solicited articles) | 69% |
Recent Articles
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Using Internet Search Engines to Obtain Medical Information: A Comparative Study by Liupu Wang, Juexin Wang, Michael Wang, Yong Li, Yanchun Liang, Dong Xu (Published on 16 May 2012) Background: The Internet has become one of the most important means to obtain health and medical information. It is often the first step in checking for basic information about a disease and its treatment. The search results are often useful to general users. Various search engines such as Google, Yahoo!, Bing, and Ask.com can play an important role in obtaining medical information for both medical professionals and lay people. However, the usability and effectiveness of various search engines for medical information have not been comprehensively compared and evaluated. Objective: To compare major Internet search engines in their usability of obtaining medical and health information. Methods: We applied usability testing as a software engineering technique and a standard industry... |
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There’s an App for That: Content Analysis of Paid Health and Fitness Apps by Joshua H. West, P. Cougar Hall, Carl L. Hanson, Michael D. Barnes, Christophe Giraud-Carrier, James Barrett (Published on 14 May 2012) Background: The introduction of Apple’s iPhone provided a platform for developers to design third-party apps, which greatly expanded the functionality and utility of mobile devices for public health. Objective: This study provides an overview of the developers’ written descriptions of health and fitness apps and appraises each app’s potential for influencing behavior change. Methods: Data for this study came from a content analysis of health and fitness app descriptions available on iTunes during February 2011. The Health Education Curriculum Analysis Tool (HECAT) and the Precede-Proceed Model (PPM) were used as frameworks to guide the coding of 3336 paid apps. Results: Compared to apps with a cost less than US $0.99, apps exceeding US $0.99 were more likely to be... |