Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
11
The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output
Ahmed Allam, Peter Johannes Schulz, Kent Nakamoto
J Med Internet Res 2014;16(4):e100
(Apr 2, 2014)
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12 26.57 0.00 9 75
 
 
12
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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15 20.22 0.00 13 90
 
 
13
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 19.93 0.00 14 95
 
 
14
Acceptability of Online Self-Help to People With Depression: Users’ Views of MoodGYM Versus Informational Websites
Justine Schneider, Pooria Sarrami Foroushani, Paul Grime, Graham Thornicroft
J Med Internet Res 2014;16(3):e90
(Mar 28, 2014)
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12 19.58 0.00 12 90
 
 
15
Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout
Ruth von Brachel, Katrin Hötzel, Gerrit Hirschfeld, Elizabeth Rieger, Ulrike Schmidt, Joachim Kosfelder, Tanja Hechler, Dietmar Schulte, Silja Vocks
J Med Internet Res 2014;16(3):e92
(Mar 31, 2014)
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10 19.38 0.00 10 75
 
 
16
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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19 19.00 0.00 142 100
 
 
17
Who Uses Physician-Rating Websites? Differences in Sociodemographic Variables, Psychographic Variables, and Health Status of Users and Nonusers of Physician-Rating Websites
Ralf Terlutter, Sonja Bidmon, Johanna Röttl
J Med Internet Res 2014;16(3):e97
(Mar 31, 2014)
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9 17.44 0.00 7 60
 
 
18
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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11 15.50 0.00 10 80
 
 
19
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 15.50 0.00 4 45
 
 
20
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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12 12.00 0.00 56 100
 
 
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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.