Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
181
What Are Young Adults Saying About Mental Health? An Analysis of Internet Blogs
Madalyn A Marcus, Henny A Westra, John D Eastwood, Kirsten L Barnes, Mobilizing Minds Research Group
J Med Internet Res 2012;14(1):e17
(Jan 30, 2012)
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2 0.33 0.00 38 95
 
 
182
Computer Skills and Internet Use in Adults Aged 50-74 Years: Influence of Hearing Difficulties
Helen Henshaw, Daniel P A Clark, Sujin Kang, Melanie A Ferguson
J Med Internet Res 2012;14(4):e113
(Aug 24, 2012)
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2 0.33 0.00 23 85
 
 
183
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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2 0.33 0.00 20 70
 
 
184
Using the Internet for Surveys and Health Research
Gunther Eysenbach, Jeremy Wyatt
J Med Internet Res 2002;4(2):e13
(Nov 22, 2002)
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2 0.33 0.00 0 0
 
 
185
Disseminating Self-Help: Positive Psychology Exercises in an Online Trial
Stephen M. Schueller, Acacia C. Parks
J Med Internet Res 2012;14(3):e63
(Jun 25, 2012)
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1 0.17 0.00 39 90
 
 
186
Comparison of Two Internet-Based Interventions for Problem Drinkers: Randomized Controlled Trial
John Alastair Cunningham
J Med Internet Res 2012;14(4):e107
(Aug 1, 2012)
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1 0.17 0.00 20 90
 
 
187
Are Personal Health Records Safe? A Review of Free Web-Accessible Personal Health Record Privacy Policies
Inmaculada Carrión Señor, José Luis Fernández-Alemán, Ambrosio Toval
J Med Internet Res 2012;14(4):e114
(Aug 23, 2012)
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1 0.17 0.00 25 90
 
 
188
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
 
 
189
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
 
 
190
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
 
 
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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.