Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
On Supplementing “Foot in the Door” Incentives for eHealth Program Engagement
Marc Steven Mitchell, Guy E Faulkner
J Med Internet Res 2014;16(7):e179
(Jul 25, 2014)
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6 6.89 0.00 5 55
 
 
32
Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study
Young Ji Lee, Bernadette Boden-Albala, Elaine Larson, Adam Wilcox, Suzanne Bakken
J Med Internet Res 2014;16(7):e176
(Jul 22, 2014)
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6 6.20 0.00 6 60
 
 
33
Is Biblioleaks Inevitable?
Adam G Dunn, Enrico Coiera, Kenneth D Mandl
J Med Internet Res 2014;16(4):e112
(Apr 22, 2014)
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6 6.00 0.00 91 100
 
 
34
Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review
Tara Donker, Katherine Petrie, Judy Proudfoot, Janine Clarke, Mary-Rose Birch, Helen Christensen
J Med Internet Res 2013;15(11):e247
(Nov 15, 2013)
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6 6.00 0.00 34 95
 
 
35
A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
S Anne Moorhead, Diane E. Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving
J Med Internet Res 2013;15(4):e85
(Apr 23, 2013)
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6 6.00 0.00 87 90
 
 
36
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2011;13(4):e123
(Dec 16, 2011)
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6 6.00 0.00 529 100
 
 
37
How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation
Margaret Mochon Demment, Meredith Leigh Graham, Christine Marie Olson
J Med Internet Res 2014;16(8):e194
(Aug 20, 2014)
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5 154.80 0.00 5 70
 
 
38
Interactive Sections of an Internet-Based Intervention Increase Empowerment of Chronic Back Pain Patients: Randomized Controlled Trial
Silvia Riva, Anne-Linda Camerini, Ahmed Allam, Peter J Schulz
J Med Internet Res 2014;16(8):e180
(Aug 13, 2014)
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5 19.37 0.00 5 55
 
 
39
Motives for Participating in a Web-Based Nutrition Cohort According to Sociodemographic, Lifestyle, and Health Characteristics: The NutriNet-Santé Cohort Study
Caroline Méjean, Fabien Szabo de Edelenyi, Mathilde Touvier, Emmanuelle Kesse-Guyot, Chantal Julia, Valentina A Andreeva, Serge Hercberg
J Med Internet Res 2014;16(8):e189
(Aug 7, 2014)
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4 8.86 0.00 4 55
 
 
40
The Internet as a Vehicle to Communicate Health Information During a Public Health Emergency: A Survey Analysis Involving the Anthrax Scare of 2001
Anne F Kittler, John Hobbs, Lynn A Volk, Gary L Kreps, David W Bates
J Med Internet Res 2004;6(1):e8
(Mar 3, 2004)
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4 4.00 0.00 3 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.