Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
331
Cardiovascular Health Effects of Internet-Based Encouragements to Do Daily Workplace Stair-Walks: Randomized Controlled Trial
Lars Louis Andersen, Emil Sundstrup, Marianne Boysen, Markus Due Jakobsen, Ole Steen Mortensen, Roger Persson
J Med Internet Res 2013;15(6):e127
(Jun 21, 2013)
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7 0.71 0.00 6 50
 
 
332
Physician Choice Making and Characteristics Associated With Using Physician-Rating Websites: Cross-Sectional Study
Martin Emmert, Florian Meier, Frank Pisch, Uwe Sander
J Med Internet Res 2013;15(8):e187
(Aug 28, 2013)
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7 0.92 9.00 6 40
 
 
333
Computing Health Quality Measures Using Informatics for Integrating Biology and the Bedside
Jeffrey G. Klann, Shawn N. Murphy
J Med Internet Res 2013;15(4):e75
(Apr 19, 2013)
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7 0.58 6.00 6 45
 
 
334
A Web-Based Interactive Diabetes Registry for Health Care Management and Planning in Saudi Arabia
Khalid A Al-Rubeaan, Amira M Youssef, Shazia N Subhani, Najlaa A Ahmad, Ahmad H Al-Sharqawi, Heba M Ibrahim
J Med Internet Res 2013;15(9):e202
(Sep 11, 2013)
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7 0.98 9.00 6 45
 
 
335
An Internet- and Mobile-Based Tailored Intervention to Enhance Maintenance of Physical Activity After Cardiac Rehabilitation: Short-Term Results of a Randomized Controlled Trial
Konstantinos Antypas, Silje C Wangberg
J Med Internet Res 2014;16(3):e77
(Mar 11, 2014)
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6 4.54 0.00 6 70
 
 
336
Who Participates in Web-Assisted Tobacco Interventions? The Quit-Primo and National Dental Practice-Based Research Network Hi-Quit Studies
Rajani Shankar Sadasivam, Rebecca L Kinney, Kathryn Delaughter, Sowmya R Rao, Jessica Hillman Williams, Heather L Coley, Midge N Ray, Gregg H Gilbert, Jeroan J Allison, Daniel E Ford, Thomas K Houston, The National Dental PBRN And QUIT-PRIMO Collaborative Groups
J Med Internet Res 2013;15(5):e77
(May 1, 2013)
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6 0.52 0.00 6 35
 
 
337
Predictors of Participant Retention in a Guided Online Self-Help Program for University Students: Prospective Cohort Study
Magdalena Wojtowicz, Victor Day, Patrick J McGrath
J Med Internet Res 2013;15(5):e96
(May 22, 2013)
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6 0.56 0.00 6 35
 
 
338
Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences
Sukjin Koh, Andrew S Gordon, Christopher Wienberg, Sara O Sood, Stephanie Morley, Deborah M Burke
J Med Internet Res 2014;16(3):e84
(Mar 19, 2014)
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6 5.64 0.00 6 70
 
 
339
Effects of a Web-Based Tailored Multiple-Lifestyle Intervention for Adults: A Two-Year Randomized Controlled Trial Comparing Sequential and Simultaneous Delivery Modes
Daniela N Schulz, Stef PJ Kremers, Corneel Vandelanotte, Mathieu JG van Adrichem, Francine Schneider, Math JJM Candel, Hein de Vries
J Med Internet Res 2014;16(1):e26
(Jan 27, 2014)
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6 2.21 0.00 6 40
 
 
340
Infodemiology of Alcohol Use in Hong Kong Mentioned on Blogs: Infoveillance Study
KL Chan, SY Ho, TH Lam
J Med Internet Res 2013;15(9):e192
(Sep 2, 2013)
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6 0.81 17.00 6 30
 
 
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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.