Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
81
Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment
Rebecca Schnall, Anastasia Okoniewski, Victoria Tiase, Alexander Low, Martha Rodriguez, Steven Kaplan
J Med Internet Res 2013;15(3):e54
(Mar 6, 2013)
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40 16.10 93.00 14 55
 
 
82
Mobile Health (mHealth) Approaches and Lessons for Increased Performance and Retention of Community Health Workers in Low- and Middle-Income Countries: A Review
Karin Källander, James K Tibenderana, Onome J Akpogheneta, Daniel L Strachan, Zelee Hill, Augustinus H A ten Asbroek, Lesong Conteh, Betty R Kirkwood, Sylvia R Meek
J Med Internet Res 2013;15(1):e17
(Jan 25, 2013)
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40 10.60 109.00 23 100
 
 
83
Social Influence as a Driver of Engagement in a Web-Based Health Intervention
Josée Poirier, Nathan K Cobb
J Med Internet Res 2012;14(1):e36
(Feb 22, 2012)
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40 2.73 107.00 31 80
 
 
84
Effects of a Web-Based Intervention for Adults With Chronic Conditions on Patient Activation: Online Randomized Controlled Trial
Michael Solomon, Stephen L Wagner, James Goes
J Med Internet Res 2012;14(1):e32
(Feb 21, 2012)
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40 2.72 32.00 13 40
 
 
85
eHealth Literacy: Extending the Digital Divide to the Realm of Health Information
Efrat Neter, Esther Brainin
J Med Internet Res 2012;14(1):e19
(Jan 27, 2012)
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40 2.58 106.00 34 90
 
 
86
Seeking Support on Facebook: A Content Analysis of Breast Cancer Groups
Jacqueline L Bender, Maria-Carolina Jimenez-Marroquin, Alejandro R Jadad
J Med Internet Res 2011;13(1):e16
(Feb 4, 2011)
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40 1.48 119.00 22 80
 
 
87
Impact of Internet Use on Loneliness and Contact with Others Among Older Adults: Cross-Sectional Analysis
Shelia R. Cotten, William A. Anderson, Brandi M. McCullough
J Med Internet Res 2013;15(2):e39
(Feb 28, 2013)
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39 14.57 71.00 27 90
 
 
88
Identifying Factors for Optimal Development of Health-Related Websites: A Delphi Study Among Experts and Potential Future Users
Francine Schneider, Liesbeth van Osch, Hein de Vries
J Med Internet Res 2012;14(1):e18
(Feb 14, 2012)
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39 2.61 101.00 21 60
 
 
89
HealthTrust: A Social Network Approach for Retrieving Online Health Videos
Luis Fernandez-Luque, Randi Karlsen, Genevieve B Melton
J Med Internet Res 2012;14(1):e22
(Jan 31, 2012)
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39 2.53 89.00 28 70
 
 
90
Effects of eHealth Interventions on Medication Adherence: A Systematic Review of the Literature
Annemiek J Linn, Marcia Vervloet, Liset van Dijk, Edith G Smit, Julia CM Van Weert
J Med Internet Res 2011;13(4):e103
(Dec 5, 2011)
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39 2.26 40.00 33 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.

 * Tweets Data Collection began January 2008