Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
11
Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study
Elina Helander, Kirsikka Kaipainen, Ilkka Korhonen, Brian Wansink
J Med Internet Res 2014;16(4):e109
(Apr 15, 2014)
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13 134.30 0.00 13 75
 
 
12
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 23.25 0.00 9 75
 
 
13
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 17.71 0.00 12 90
 
 
14
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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12 12.00 0.00 25 95
 
 
15
Web-Based Virtual Patients in Nursing Education: Development and Validation of Theory-Anchored Design and Activity Models
Carina Georg, Nabil Zary
J Med Internet Res 2014;16(4):e105
(Apr 10, 2014)
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11 42.62 0.00 11 70
 
 
16
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 14.21 0.00 10 85
 
 
17
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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11 11.00 0.00 56 100
 
 
18
Social Media: A Review and Tutorial of Applications in Medicine and Health Care
Francisco Jose Grajales III, Samuel Sheps, Kendall Ho, Helen Novak-Lauscher, Gunther Eysenbach
J Med Internet Res 2014;16(2):e13
(Feb 11, 2014)
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11 11.00 0.00 104 95
 
 
19
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 17.22 0.00 10 75
 
 
20
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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10 10.00 0.00 29 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.