Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
51
I Don't Believe It, But I'd Better Do Something About It: Patient Experiences of Online Heart Age Risk Calculators
Carissa Bonner, Jesse Jansen, Ben R Newell, Les Irwig, Paul Glasziou, Jenny Doust, Haryana Dhillon, Kirsten McCaffery
J Med Internet Res 2014;16(5):e120
(May 5, 2014)
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20 7.21 0.00 17 80
 
 
52
Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study
Thiago D Nascimento, Marcos F DosSantos, Theodora Danciu, Misty DeBoer, Hendrik van Holsbeeck, Sarah R Lucas, Christine Aiello, Leen Khatib, MaryCatherine A Bender, UMSoD (Under)Graduate Class Of 2014, Jon-Kar Zubieta, Alexandre F DaSilva
J Med Internet Res 2014;16(4):e96
(Apr 3, 2014)
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20 5.25 0.00 18 100
 
 
53
Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions
Frederick Muench, Katherine van Stolk-Cooke, Jon Morgenstern, Alexis N Kuerbis, Kendra Markle
J Med Internet Res 2014;16(2):e14
(Feb 5, 2014)
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20 3.54 0.00 9 80
 
 
54
Does Brief Telephone Support Improve Engagement With a Web-Based Weight Management Intervention? Randomized Controlled Trial
Laura Dennison, Leanne Morrison, Scott Lloyd, Dawn Phillips, Beth Stuart, Sarah Williams, Katherine Bradbury, Paul Roderick, Elizabeth Murray, Susan Michie, Paul Little, Lucy Yardley
J Med Internet Res 2014;16(3):e95
(Mar 28, 2014)
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20 5.00 0.00 14 95
 
 
55
Social Media and Rating Sites as Tools to Understanding Quality of Care: A Scoping Review
Lise M Verhoef, Tom H Van de Belt, Lucien JLPG Engelen, Lisette Schoonhoven, Rudolf B Kool
J Med Internet Res 2014;16(2):e56
(Feb 20, 2014)
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19 3.68 0.00 16 75
 
 
56
Click “Like” to Change Your Behavior: A Mixed Methods Study of College Students’ Exposure to and Engagement With Facebook Content Designed for Weight Loss
Gina Merchant, Nadir Weibel, Kevin Patrick, James H Fowler, Greg J Norman, Anjali Gupta, Christina Servetas, Karen Calfas, Ketaki Raste, Laura Pina, Mike Donohue, William G Griswold, Simon Marshall
J Med Internet Res 2014;16(6):e158
(Jun 24, 2014)
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19 16.36 0.00 16 90
 
 
57
Initial Outcomes From a 4-Week Follow-Up Study of the Text4baby Program in the Military Women’s Population: Randomized Controlled Trial
W Douglas Evans, Jasmine Wallace Bihm, Daniel Szekely, Peter Nielsen, Elizabeth Murray, Lorien Abroms, Jeremy Snider
J Med Internet Res 2014;16(5):e131
(May 20, 2014)
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18 7.86 0.00 5 35
 
 
58
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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18 4.20 0.00 14 95
 
 
59
Effectiveness and Cost-Effectiveness of eHealth Interventions in Somatic Diseases: A Systematic Review of Systematic Reviews and Meta-Analyses
Niels J Elbert, Harmieke van Os-Medendorp, Wilco van Renselaar, Anne G Ekeland, Leona Hakkaart-van Roijen, Hein Raat, Tamar EC Nijsten, Suzanne GMA Pasmans
J Med Internet Res 2014;16(4):e110
(Apr 16, 2014)
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18 5.31 0.00 5 50
 
 
60
Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy
Jaehee Cho, Dongjin Park, H Erin Lee
J Med Internet Res 2014;16(5):e125
(May 9, 2014)
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18 6.80 0.00 17 85
 
 
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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.