Top 10 Most Tweeted JMIR Articles (All Time) https://www.jmir.org/stats/feed Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Tweets: 2528 | Twimpact Factor (tw7): 2 | Twindex7: 0 ]]> https://www.jmir.org/2011/4/e123 Fri, 16 Dec 2011 08:38:26 EST https://www.jmir.org/2011/4/e123 Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers
Tweets: 1737 | Twimpact Factor (tw7): 28 | Twindex7: 0 ]]> https://www.jmir.org/2017/8/e280 Thu, 17 Aug 2017 10:00:13 EDT https://www.jmir.org/2017/8/e280 Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies
Tweets: 1586 | Twimpact Factor (tw7): 61 | Twindex7: 0 ]]> https://www.jmir.org/2017/11/e367 Wed, 01 Nov 2017 10:45:04 EDT https://www.jmir.org/2017/11/e367 A Protocol-Driven, Bedside Digital Conversational Agent to Support Nurse Teams and Mitigate Risks of Hospitalization in Older Adults: Case Control Pre-Post Study
Tweets: 787 | Twimpact Factor (tw7): 0 | Twindex7: 0 ]]> https://www.jmir.org/2019/10/e13440 Thu, 17 Oct 2019 10:15:02 EDT https://www.jmir.org/2019/10/e13440 Twitter Social Media is an Effective Tool for Breast Cancer Patient Education and Support: Patient-Reported Outcomes by Survey P<.001). Also, no patients initially reporting low or no anxiety before participation reported an increase to high or extreme anxiety after participation. Conclusions: This study demonstrates that breast cancer patients’ perceived knowledge increases and their anxiety decreases by participation in a Twitter social media support group.

Tweets: 715 | Twimpact Factor (tw7): 17 | Twindex7: 0 ]]> https://www.jmir.org/2015/7/e188 Thu, 30 Jul 2015 10:00:04 EDT https://www.jmir.org/2015/7/e188 Influence of Pokémon Go on Physical Activity: Study and Implications
Tweets: 665 | Twimpact Factor (tw7): 37 | Twindex7: 0 ]]> https://www.jmir.org/2016/12/e315 Tue, 06 Dec 2016 10:15:09 EST https://www.jmir.org/2016/12/e315 Are Health-Related Tweets Evidence Based? Review and Analysis of Health-Related Tweets on Twitter P<.001). Conclusions: Approximately half of the medical tweets from professional accounts on Twitter were found to be false based on expert review. Furthermore, most of the evidence-based health-related tweets are posted by government institutes and physicians.

Tweets: 664 | Twimpact Factor (tw7): 19 | Twindex7: 0 ]]> https://www.jmir.org/2015/10/e246 Thu, 29 Oct 2015 09:00:20 EDT https://www.jmir.org/2015/10/e246 A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
Tweets: 596 | Twimpact Factor (tw7): 5 | Twindex7: 0 ]]> https://www.jmir.org/2013/4/e85 Tue, 23 Apr 2013 10:57:49 EDT https://www.jmir.org/2013/4/e85 Retrieving Clinical Evidence: A Comparison of PubMed and Google Scholar for Quick Clinical Searches P<.001). Precision was similar in both databases (PubMed: 6%; Google Scholar: 8%; P=.07). Google Scholar provided significantly greater access to free full-text publications (PubMed: 5%; Google Scholar: 14%; P<.001). Conclusions: For quick clinical searches, Google Scholar returns twice as many relevant articles as PubMed and provides greater access to free full-text articles.

Tweets: 580 | Twimpact Factor (tw7): 32 | Twindex7: 0 ]]> https://www.jmir.org/2013/8/e164 Thu, 15 Aug 2013 10:24:16 EDT https://www.jmir.org/2013/8/e164 Real-World Implementation of Video Outpatient Consultations at Macro, Meso, and Micro Levels: Mixed-Method Study
Tweets: 561 | Twimpact Factor (tw7): 8 | Twindex7: 0 ]]> https://www.jmir.org/2018/4/e150 Tue, 17 Apr 2018 09:00:02 EDT https://www.jmir.org/2018/4/e150