Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
181
Supporting Informed Decision Making Online in 20 Minutes: An Observational Web-log Study of a PSA Test Decision Aid
Natalie Joseph-Williams, Rhodri Evans, Adrian Edwards, Robert G Newcombe, Patricia Wright, Richard Grol, Glyn Elwyn
J Med Internet Res 2010;12(2):e15
(May 26, 2010)
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1 0.17 0.00 5 15
 
 
182
What E-patients Want From the Doctor-Patient Relationship: Content Analysis of Posts on Discussion Boards
Jaqui Hewitt-Taylor, Carol S Bond
J Med Internet Res 2012;14(6):e155
(Nov 8, 2012)
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1 0.17 0.00 59 95
 
 
183
Applying Social Network Analysis to Understand the Knowledge Sharing Behaviour of Practitioners in a Clinical Online Discussion Forum
Samuel Alan Stewart, Syed Sibte Raza Abidi
J Med Internet Res 2012;14(6):e170
(Dec 4, 2012)
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1 0.17 0.00 15 65
 
 
184
Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial
Sylvia Deidre Kauer, Sophie Caroline Reid, Alexander Hew Dale Crooke, Angela Khor, Stephen John Charles Hearps, Anthony Francis Jorm, Lena Sanci, George Patton
J Med Internet Res 2012;14(3):e67
(Jun 25, 2012)
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1 0.17 0.00 28 75
 
 
185
The Influence of User Characteristics and a Periodic Email Prompt on Exposure to an Internet-Delivered Computer-Tailored Lifestyle Program
Francine Schneider, Liesbeth van Osch, Daniela N Schulz, Stef PJ Kremers, Hein de Vries
J Med Internet Res 2012;14(2):e40
(Mar 1, 2012)
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1 0.17 0.00 7 10
 
 
186
Improving Diabetes Care for Young People With Type 1 Diabetes Through Visual Learning on Mobile Phones: Mixed-Methods Study
Dag Helge Frøisland, Eirik Årsand, Finn Skårderud
J Med Internet Res 2012;14(4):e111
(Aug 6, 2012)
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1 0.17 0.00 16 75
 
 
187
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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1 0.17 0.00 31 80
 
 
188
An Evaluation of the Use of Smartphones to Communicate Between Clinicians: A Mixed-Methods Study
Robert Wu, Peter Rossos, Sherman Quan, Scott Reeves, Vivian Lo, Brian Wong, Mark Cheung, Dante Morra
J Med Internet Res 2011;13(3):e59
(Aug 29, 2011)
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1 0.17 0.00 29 95
 
 
189
A Review of Online Evidence-based Practice Point-of-Care Information Summary Providers
Rita Banzi, Alessandro Liberati, Ivan Moschetti, Ludovica Tagliabue, Lorenzo Moja
J Med Internet Res 2010;12(3):e26
(Jul 7, 2010)
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1 0.17 0.00 18 70
 
 
190
Clinicians’ Expectations of Web 2.0 as a Mechanism for Knowledge Transfer of Stroke Best Practices
Isabelle David, Lise Poissant, Annie Rochette
J Med Internet Res 2012;14(5):e121
(Sep 13, 2012)
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1 0.17 0.00 20 70
 
 
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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.