Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
161
The 1% Rule in Four Digital Health Social Networks: An Observational Study
Trevor van Mierlo
J Med Internet Res 2014;16(2):e33
(Feb 4, 2014)
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4 0.67 0.00 118 100
 
 
162
Common Cold Symptoms in Children: Results of an Internet-Based Surveillance Program
Emanuel Troullos, Lisa Baird, Shyamalie Jayawardena
J Med Internet Res 2014;16(6):e144
(Jun 19, 2014)
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4 1.20 0.00 4 35
 
 
163
Web-Based Intervention in Mindfulness Meditation for Reducing Residual Depressive Symptoms and Relapse Prophylaxis: A Qualitative Study
Jennifer M Boggs, Arne Beck, Jennifer N Felder, Sona Dimidjian, Christina A Metcalf, Zindel V Segal
J Med Internet Res 2014;16(3):e87
(Mar 24, 2014)
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4 0.67 0.00 13 90
 
 
164
Electronic Versus Paper-Based Assessment of Health-Related Quality of Life Specific to HIV Disease: Reliability Study of the PROQOL-HIV Questionnaire
Martin Duracinsky, Christophe Lalanne, Cécile Goujard, Susan Herrmann, Christian Cheung-Lung, Jean-Paul Brosseau, Yannick Schwartz, Olivier Chassany
J Med Internet Res 2014;16(4):e115
(Apr 25, 2014)
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4 0.78 0.00 4 35
 
 
165
Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study
Marco Kalz, Niklas Lenssen, Marc Felzen, Rolf Rossaint, Bernardo Tabuenca, Marcus Specht, Max Skorning
J Med Internet Res 2014;16(3):e89
(Mar 19, 2014)
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4 0.67 0.00 14 95
 
 
166
The Management of Acute Adverse Effects of Breast Cancer Treatment in General Practice: A Video-Vignette Study
Moyez Jiwa, Anne Long, Tim Shaw, Georgina Pagey, Georgia Halkett, Vinita Pillai, Xingqiong Meng
J Med Internet Res 2014;16(9):e204
(Sep 3, 2014)
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4 4.59 0.00 4 55
 
 
167
Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership
Jenine K Harris, Bechara Choucair, Ryan C Maier, Nina Jolani, Jay M Bernhardt
J Med Internet Res 2014;16(2):e31
(Feb 26, 2014)
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4 0.67 0.00 25 95
 
 
168
Characterizing Periodic Messaging Interventions Across Health Behaviors and Media: Systematic Review
Elaine De Leon, Laura W Fuentes, Joanna E Cohen
J Med Internet Res 2014;16(3):e93
(Mar 25, 2014)
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4 0.67 0.00 10 80
 
 
169
Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention
Kyla L Smith, Deborah A Kerr, Ashley A Fenner, Leon M Straker
J Med Internet Res 2014;16(4):e103
(Apr 8, 2014)
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4 0.71 0.00 4 45
 
 
170
Patients’ Engagement With “Sweet Talk” – A Text Messaging Support System for Young People With Diabetes
Victoria Franklin, Alexandra Greene, Annalu Waller, Stephen Greene, Claudia Pagliari
J Med Internet Res 2008;10(2):e20
(Jun 30, 2008)
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4 0.67 0.00 1 95
 
 
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Total Tweets
 
Tweets per Month
 
Tweets Influence Factor
 
Twimpact Factor (TWIF) tw7
 
Twindex7

A Tweets per month statistic may be artifically inflated for newly published articles

B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others)

C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011)

D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited.