Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
41
Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences
Arun Rai, Liwei Chen, Jessica Pye, Aaron Baird
J Med Internet Res 2013;15(8):e149
(Aug 2, 2013)
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16 1.36 36.00 9 55
 
 
42
Pedometer-Based Internet-Mediated Intervention For Adults With Chronic Low Back Pain: Randomized Controlled Trial
Sarah L Krein, Reema Kadri, Maria Hughes, Eve A Kerr, John D Piette, Rob Holleman, Hyungjin Myra Kim, Caroline R Richardson
J Med Internet Res 2013;15(8):e181
(Aug 22, 2013)
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25 2.25 35.00 23 85
 
 
43
Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part II): Assessment of Participants' Perceptions on Efficacy
Lorraine R Buis, Lindsey Hirzel, Scott A Turske, Terrisca R Des Jardins, Hossein Yarandi, Patricia Bondurant
J Med Internet Res 2013;15(12):e282
(Dec 19, 2013)
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18 2.47 35.00 8 60
 
 
44
Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter
Melanie Hingle, Donella Yoon, Joseph Fowler, Stephen Kobourov, Michael Lee Schneider, Daniel Falk, Randy Burd
J Med Internet Res 2013;15(6):e125
(Jun 24, 2013)
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35 2.92 34.00 14 75
 
 
45
Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information
Brian S McGowan, Molly Wasko, Bryan Steven Vartabedian, Robert S Miller, Desirae D Freiherr, Maziar Abdolrasulnia
J Med Internet Res 2012;14(5):e117
(Sep 24, 2012)
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42 3.50 31.00 142 100
 
 
46
Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students
Carl L Hanson, Scott H Burton, Christophe Giraud-Carrier, Josh H West, Michael D Barnes, Bret Hansen
J Med Internet Res 2013;15(4):e62
(Apr 17, 2013)
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11 0.92 31.00 16 70
 
 
47
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Morwenna Kirwan, Corneel Vandelanotte, Andrew Fenning, Mitch J Duncan
J Med Internet Res 2013;15(11):e235
(Nov 13, 2013)
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26 3.08 30.00 23 90
 
 
48
Development and Initial Evaluation of an Internet-Based Support System for Face-to-Face Cognitive Behavior Therapy: A Proof of Concept Study
Kristoffer NT MÃ¥nsson, Erica Skagius Ruiz, Elisabet Gervind, Mats Dahlin, Gerhard Andersson
J Med Internet Res 2013;15(12):e280
(Dec 10, 2013)
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19 2.51 30.00 13 90
 
 
49
Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework
Kacie CA Blackman, Jamie Zoellner, Leanna M Berrey, Ramine Alexander, Jason Fanning, Jennie L Hill, Paul A Estabrooks
J Med Internet Res 2013;15(10):e224
(Oct 4, 2013)
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15 1.54 30.00 12 65
 
 
50
Activities on Facebook Reveal the Depressive State of Users
Sungkyu Park, Sang Won Lee, Jinah Kwak, Meeyoung Cha, Bumseok Jeong
J Med Internet Res 2013;15(10):e217
(Oct 1, 2013)
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13 1.32 30.00 9 55
 
 
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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.