Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
291
Online Mental Health Resources in Rural Australia: Clinician Perceptions of Acceptability
Craig Sinclair, Kristi Holloway, Geoffrey Riley, Kirsten Auret
J Med Internet Res 2013;15(9):e193
(Sep 5, 2013)
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10 0.86 8.00 8 55
 
 
292
Executive Functioning in Alcoholics Following an mHealth Cognitive Stimulation Program: Randomized Controlled Trial
Pedro Gamito, Jorge Oliveira, Paulo Lopes, Rodrigo Brito, Diogo Morais, Diana Silva, Ana Silva, Sara Rebelo, Marta Bastos, Alberto Deus
J Med Internet Res 2014;16(4):e102
(Apr 17, 2014)
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9 2.05 0.00 8 60
 
 
293
Interpretive Flexibility in Mobile Health: Lessons From a Government-Sponsored Home Care Program
Jeppe Agger Nielsen, Lars Mathiassen
J Med Internet Res 2013;15(10):e236
(Oct 30, 2013)
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9 0.91 18.00 8 50
 
 
294
Hospital Website Rankings in the United States: Expanding Benchmarks and Standards for Effective Consumer Engagement
Timothy R Huerta, Jennifer L Hefner, Eric W Ford, Ann Scheck McAlearney, Nir Menachemi
J Med Internet Res 2014;16(2):e64
(Feb 25, 2014)
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9 1.49 0.00 8 75
 
 
295
Medical Students and Personal Smartphones in the Clinical Environment: The Impact on Confidentiality of Personal Health Information and Professionalism
Kim Tran, Dante Morra, Vivian Lo, Sherman D Quan, Howard Abrams, Robert C Wu
J Med Internet Res 2014;16(5):e132
(May 22, 2014)
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9 2.76 0.00 8 50
 
 
296
Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness
Gunther Eysenbach
J Med Internet Res 2008;10(3):e22
(Aug 25, 2008)
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8 0.67 10.00 8 100
 
 
297
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 4.51 0.00 8 65
 
 
298
Virtual Communities of Practice: Overcoming Barriers of Time and Technology
Kieran Walsh, Stephen Barnett
J Med Internet Res 2014;16(7):e185
(Jul 29, 2014)
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8 7.52 0.00 8 65
 
 
299
Response to: Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Melinda J Hutchesson, Philip J Morgan, Penelope McCoy, Clare E Collins
J Med Internet Res 2014;16(7):e178
(Jul 24, 2014)
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8 6.53 0.00 8 70
 
 
300
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 5.28 0.00 8 55
 
 
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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.