Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
291
Web-Based Versus Traditional Paper Questionnaires: A Mixed-Mode Survey With a Nordic Perspective
Lena Hohw├╝, Heidi Lyshol, Mika Gissler, Stefan Hrafn Jonsson, Max Petzold, Carsten Obel
J Med Internet Res 2013;15(8):e173
(Aug 26, 2013)
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9 0.84 9.00 8 50
 
 
292
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 1.86 0.00 8 75
 
 
293
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 4.36 0.00 8 50
 
 
294
Intervention Adherence is Related to Participant Retention: Implications for Research
John Alastair Cunningham
J Med Internet Res 2014;16(5):e133
(May 21, 2014)
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8 3.82 0.00 8 50
 
 
295
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 13.78 0.00 8 65
 
 
296
Determinants of Participation in a Web-Based Health Risk Assessment and Consequences for Health Promotion Programs
Maurice AJ Niessen, Eva L Laan, Suzan JW Robroek, Marie-Louise Essink-Bot, Niels Peek, Roderik A Kraaijenhagen, Coen K Van Kalken, Alex Burdorf
J Med Internet Res 2013;15(8):e151
(Aug 9, 2013)
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8 0.71 11.00 8 70
 
 
297
Pain-QuILT: Clinical Feasibility of a Web-Based Visual Pain Assessment Tool in Adults With Chronic Pain
Chitra Lalloo, Dinesh Kumbhare, Jennifer N Stinson, James L Henry
J Med Internet Res 2014;16(5):e127
(May 12, 2014)
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8 3.35 0.00 8 75
 
 
298
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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8 247.68 0.00 8 75
 
 
299
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 24.80 0.00 8 55
 
 
300
Barriers and Facilitators for the Implementation of an Online Clinical Health Community in Addition to Usual Fertility Care: A Cross-Sectional Study
Johanna WM Aarts, Marjan J Faber, Anne G den Boogert, Ben J Cohlen, Paul JQ van der Linden, Jan AM Kremer, Willianne LDM Nelen
J Med Internet Res 2013;15(8):e163
(Aug 30, 2013)
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8 0.75 10.00 8 45
 
 
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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.