Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
231
Social Media and the Empowering of Opponents of Medical Technologies: The Case of Anti-Vaccinationism
Kumanan Wilson, Jennifer Keelan
J Med Internet Res 2013;15(5):e103
(May 28, 2013)
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2 0.33 0.00 20 85
 
 
232
The Clinical Effectiveness of Web-Based Cognitive Behavioral Therapy With Face-to-Face Therapist Support for Depressed Primary Care Patients: Randomized Controlled Trial
Ragnhild Sørensen Høifødt, Kjersti R Lillevoll, Kathleen M Griffiths, Tom Wilsgaard, Martin Eisemann, Knut Waterloo, Nils Kolstrup
J Med Internet Res 2013;15(8):e153
(Aug 5, 2013)
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2 0.33 0.00 7 60
 
 
233
Benefits of Peer Support in Online Japanese Breast Cancer Communities: Differences Between Lurkers and Posters
Yoko Setoyama, Yoshihiko Yamazaki, Kazuhiro Namayama
J Med Internet Res 2011;13(4):e122
(Dec 29, 2011)
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2 0.33 1.00 32 90
 
 
234
Preventing the Obesity Epidemic by Second Generation Tailored Health Communication: An Interdisciplinary Review
Heidi Päivyt Karoliina Enwald, Maija-Leena Aulikki Huotari
J Med Internet Res 2010;12(2):e24
(Jun 28, 2010)
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2 0.33 6.00 7 20
 
 
235
Mobile Phone Applications for the Care and Prevention of HIV and Other Sexually Transmitted Diseases: A Review
Kathryn E Muessig, Emily C Pike, Sara LeGrand, Lisa B Hightow-Weidman
J Med Internet Res 2013;15(1):e1
(Jan 4, 2013)
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2 0.33 2.00 20 80
 
 
236
Patient Experiences With Full Electronic Access to Health Records and Clinical Notes Through the My HealtheVet Personal Health Record Pilot: Qualitative Study
Susan S Woods, Erin Schwartz, Anais Tuepker, Nancy A Press, Kim M Nazi, Carolyn L Turvey, W. Paul Nichol
J Med Internet Res 2013;15(3):e65
(Mar 27, 2013)
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2 0.33 7.00 70 100
 
 
237
Activities on Facebook Reveal the Depressive State of Users
Sungkyu Park, Sang Won Lee, Jinah Kwak, Meeyoung Cha, Bumseok Jeong
J Med Internet Res 2013;15(10):e217
(Oct 1, 2013)
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2 0.33 9.00 9 55
 
 
238
Swarm-Based Medicine
Paul Martin Putora, Jan Oldenburg
J Med Internet Res 2013;15(9):e207
(Sep 19, 2013)
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2 0.33 0.00 27 100
 
 
239
Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews
Leonie FM Kohl, Rik Crutzen, Nanne K de Vries
J Med Internet Res 2013;15(7):e146
(Jul 16, 2013)
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2 0.33 1.00 16 85
 
 
240
Crowdsourcing Black Market Prices For Prescription Opioids
Nabarun Dasgupta, Clark Freifeld, John S Brownstein, Christopher Mark Menone, Hilary L Surratt, Luke Poppish, Jody L Green, Eric J Lavonas, Richard C Dart
J Med Internet Res 2013;15(8):e178
(Aug 16, 2013)
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2 0.33 7.00 18 85
 
 
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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.