Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
461
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 0.08 0.00 9 55
 
 
462
Global Reach of Direct-to-Consumer Advertising Using Social Media for Illicit Online Drug Sales
Tim Ken Mackey, Bryan A Liang
J Med Internet Res 2013;15(5):e105
(May 29, 2013)
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1 0.08 0.00 12 60
 
 
463
A Pre-Post Study on the Appropriateness and Effectiveness of a Web- and Text Messaging-Based Intervention to Reduce Problem Drinking in Emerging Adults
Severin Haug, Michael P Schaub, Vigeli Venzin, Christian Meyer, Ulrich John, Gerhard Gmel
J Med Internet Res 2013;15(9):e196
(Sep 2, 2013)
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1 0.08 0.00 4 25
 
 
464
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 0.08 0.00 12 50
 
 
465
How Patients With Schizophrenia Use the Internet: Qualitative Study
Beate Schrank, Ingrid Sibitz, Annemarie Unger, Michaela Amering
J Med Internet Res 2010;12(5):e70
(Dec 19, 2010)
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1 0.08 0.00 19 100
 
 
466
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 0.08 0.00 14 75
 
 
467
Supportive Accountability: A Model for Providing Human Support to Enhance Adherence to eHealth Interventions
David Mohr, Pim Cuijpers, Kenneth Lehman
J Med Internet Res 2011;13(1):e30
(Mar 10, 2011)
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1 0.08 0.00 2 0
 
 
468
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 0.08 0.00 15 65
 
 
469
Perceptions of Family Physician Trainees and Trainers Regarding the Usefulness of a Virtual Community of Practice
Stephen Barnett, Sandra C Jones, Sue Bennett, Don Iverson, Andrew Bonney
J Med Internet Res 2013;15(5):e92
(May 10, 2013)
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1 0.08 0.00 17 75
 
 
470
Comparison of Text and Video Computer-Tailored Interventions for Smoking Cessation: Randomized Controlled Trial
Nicola Stanczyk, Catherine Bolman, Mathieu van Adrichem, Math Candel, Jean Muris, Hein de Vries
J Med Internet Res 2014;16(3):e69
(Mar 3, 2014)
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1 0.16 0.00 0 0
 
 
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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.