Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
261
Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter
Melanie Hingle, Donella Yoon, Joseph Fowler, Stephen Kobourov, Michael Lee Schneider, Daniel Falk, Randy Burd
J Med Internet Res 2013;15(6):e125
(Jun 24, 2013)
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1 0.17 0.00 14 75
 
 
262
Scope of Policy Issues in eHealth: Results From a Structured Literature Review
Shariq Khoja, Hammad Durrani, Parvez Nayani, Ammad Fahim
J Med Internet Res 2012;14(1):e34
(Feb 17, 2012)
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1 0.17 0.00 13 50
 
 
263
Security Considerations for E-Mental Health Interventions
Kylie Bennett, Anthony James Bennett, Kathleen Margaret Griffiths
J Med Internet Res 2010;12(5):e61
(Dec 19, 2010)
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1 0.17 0.00 5 50
 
 
264
A Text Messaging Intervention to Improve Heart Failure Self-Management After Hospital Discharge in a Largely African-American Population: Before-After Study
Shantanu Nundy, Rabia R Razi, Jonathan J Dick, Bryan Smith, Ainoa Mayo, Anne O'Connor, David O Meltzer
J Med Internet Res 2013;15(3):e53
(Mar 11, 2013)
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1 0.17 0.00 12 50
 
 
265
Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire
Leila Pfaeffli, Ralph Maddison, Yannan Jiang, Lance Dalleck, Marie Löf
J Med Internet Res 2013;15(3):e61
(Mar 22, 2013)
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1 0.17 0.00 15 65
 
 
266
Can Social Semantic Web Techniques Foster Collaborative Curriculum Mapping In Medicine?
Cord Spreckelsen, Sonja Finsterer, Jan Cremer, Hennig Schenkat
J Med Internet Res 2013;15(8):e169
(Aug 15, 2013)
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1 0.17 0.00 21 95
 
 
267
Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences
Arun Rai, Liwei Chen, Jessica Pye, Aaron Baird
J Med Internet Res 2013;15(8):e149
(Aug 2, 2013)
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1 0.17 0.00 9 55
 
 
268
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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1 0.17 0.00 6 50
 
 
269
e-Health Code of Ethics (May 24)
Helga Rippen, Ahmad Risk
J Med Internet Res 2000;2(2):e9
(May 24, 2000)
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1 0.17 2.00 0 0
 
 
270
Determinants of Successful Weight Loss After Using a Commercial Web-Based Weight Reduction Program for Six Months: Cohort Study
Elisa Postrach, Rosa Aspalter, Ulf Elbelt, Michael Koller, Rita Longin, Jörg-Dieter Schulzke, Luzia Valentini
J Med Internet Res 2013;15(10):e219
(Oct 14, 2013)
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1 0.17 1.00 10 60
 
 
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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.