Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
11
Expectations of iPad Use in an Internal Medicine Residency Program: Is It Worth the “Hype”?
Nancy Luo, Christopher G. Chapman, Bhakti K. Patel, James N. Woodruff, Vineet M. Arora
J Med Internet Res 2013;15(5):e88
(May 8, 2013)
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8 8.00 0.00 44 90
 
 
12
There’s an App for That: Content Analysis of Paid Health and Fitness Apps
Joshua H. West, P. Cougar Hall, Carl L. Hanson, Michael D. Barnes, Christophe Giraud-Carrier, James Barrett
J Med Internet Res 2012;14(3):e72
(May 14, 2012)
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3 3.00 0.00 43 85
 
 
13
Enabling Community Through Social Media
Anatoliy Gruzd, Caroline Haythornthwaite
J Med Internet Res 2013;15(10):e248
(Oct 31, 2013)
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1 1.00 0.00 40 95
 
 
14
Disordered Eating in a Digital Age: Eating Behaviors, Health, and Quality of Life in Users of Websites With Pro-Eating Disorder Content
Rebecka Peebles, Jenny L Wilson, Iris F Litt, Kristina K Hardy, James D Lock, Julia R Mann, Dina LG Borzekowski
J Med Internet Res 2012;14(5):e148
(Oct 25, 2012)
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7 7.00 0.00 38 90
 
 
15
The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions
David C Mohr, Stephen M Schueller, Enid Montague, Michelle Nicole Burns, Parisa Rashidi
J Med Internet Res 2014;16(6):e146
(Jun 5, 2014)
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8 8.00 0.00 35 95
 
 
16
Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness
Margaret E Morris, Qusai Kathawala, Todd K Leen, Ethan E Gorenstein, Farzin Guilak, William DeLeeuw, Michael Labhard
J Med Internet Res 2010;12(2):e10
(Apr 30, 2010)
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1 1.00 0.00 35 85
 
 
17
Predictors of eHealth Usage: Insights on The Digital Divide From the Health Information National Trends Survey 2012
Emily Kontos, Kelly D Blake, Wen-Ying Sylvia Chou, Abby Prestin
J Med Internet Res 2014;16(7):e172
(Jul 16, 2014)
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34 175.71 0.00 34 95
 
 
18
Are Health Behavior Change Interventions That Use Online Social Networks Effective? A Systematic Review
Carol A Maher, Lucy K Lewis, Katia Ferrar, Simon Marshall, Ilse De Bourdeaudhuij, Corneel Vandelanotte
J Med Internet Res 2014;16(2):e40
(Feb 14, 2014)
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1 1.00 0.00 29 85
 
 
19
The New Health-Related Top-Level Domains Are Coming: Will Cureforcancer.health Go to the Highest Bidder?
Gunther Eysenbach
J Med Internet Res 2014;16(3):e73
(Mar 5, 2014)
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1 1.00 0.00 29 95
 
 
20
Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle
Patricia Cavazos-Rehg, Melissa Krauss, Richard Grucza, Laura Bierut
J Med Internet Res 2014;16(6):e157
(Jun 27, 2014)
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30 37.20 0.00 28 100
 
 
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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.