Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
11
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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13 13.00 0.00 529 100
 
 
12
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
Miguel Angel Luengo-Oroz, Asier Arranz, John Frean
J Med Internet Res 2012;14(6):e167
(Nov 29, 2012)
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12 12.00 0.00 187 100
 
 
13
A Web-Based Peer-Modeling Intervention Aimed at Lifestyle Changes in Patients With Coronary Heart Disease and Chronic Back Pain: Sequential Controlled Trial
Rebecca Schweier, Matthias Romppel, Cynthia Richter, Eike Hoberg, Harry Hahmann, Inge Scherwinski, Gregor Kosm├╝tzky, Gesine Grande
J Med Internet Res 2014;16(7):e177
(Jul 23, 2014)
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10 44.29 0.00 10 70
 
 
14
Click “Like” to Change Your Behavior: A Mixed Methods Study of College Students’ Exposure to and Engagement With Facebook Content Designed for Weight Loss
Gina Merchant, Nadir Weibel, Kevin Patrick, James H Fowler, Greg J Norman, Anjali Gupta, Christina Servetas, Karen Calfas, Ketaki Raste, Laura Pina, Mike Donohue, William G Griswold, Simon Marshall
J Med Internet Res 2014;16(6):e158
(Jun 24, 2014)
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9 9.00 0.00 16 90
 
 
15
Response to: Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Melinda Hutchesson, Philip Morgan, Penelope Jones, Clare Collins
J Med Internet Res 2014;16(7):e178
(Jul 24, 2014)
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8 41.34 0.00 8 70
 
 
16
Longitudinal Accuracy of Web-Based Self-Reported Weights: Results From the Hopkins POWER Trial
Gerald J Jerome, Arlene Dalcin, Janelle W Coughlin, Stephanie Fitzpatrick, Nae-Yuh Wang, Nowella Durkin, Hsin-Chieh Yeh, Jeanne Charleston, Thomas Pozefsky, Gail L Daumit, Jeanne M Clark, Thomas A Louis, Lawrence J Appel
J Med Internet Res 2014;16(7):e173
(Jul 15, 2014)
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8 16.53 0.00 8 55
 
 
17
Does Self-Selection Affect Samples’ Representativeness in Online Surveys? An Investigation in Online Video Game Research
Yasser Khazaal, Mathias van Singer, Anne Chatton, Sophia Achab, Daniele Zullino, Stephane Rothen, Riaz Khan, Joel Billieux, Gabriel Thorens
J Med Internet Res 2014;16(7):e164
(Jul 7, 2014)
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8 10.78 0.00 8 65
 
 
18
Exploring the Value of Technology to Stimulate Interprofessional Discussion and Education: A Needs Assessment of Emergency Medicine Professionals
Jennifer Riley, Melissa McGowan, Linda Rozmovits
J Med Internet Res 2014;16(6):e162
(Jun 30, 2014)
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8 8.27 0.00 5 55
 
 
19
Expectations of iPad Use in an Internal Medicine Residency Program: Is It Worth the “Hype”?
Nancy Luo, Christopher G. Chapman, Bhakti K. Patel, James N. Woodruff, Vineet M. Arora
J Med Internet Res 2013;15(5):e88
(May 8, 2013)
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8 8.00 0.00 44 90
 
 
20
The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions
David C Mohr, Stephen M Schueller, Enid Montague, Michelle Nicole Burns, Parisa Rashidi
J Med Internet Res 2014;16(6):e146
(Jun 5, 2014)
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8 8.00 0.00 35 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.