Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
391
Seeking Support on Facebook: A Content Analysis of Breast Cancer Groups
Jacqueline L Bender, Maria-Carolina Jimenez-Marroquin, Alejandro R Jadad
J Med Internet Res 2011;13(1):e16
(Feb 4, 2011)
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2 0.17 0.00 25 80
 
 
392
Using Social Networking to Understand Social Networks: Analysis of a Mobile Phone Closed User Group Used by a Ghanaian Health Team
Nadi Nina Kaonga, Alain Labrique, Patricia Mechael, Eric Akosah, Seth Ohemeng-Dapaah, Joseph Sakyi Baah, Richmond Kodie, Andrew S. Kanter, Orin Levine
J Med Internet Res 2013;15(4):e74
(Apr 3, 2013)
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2 0.17 7.00 24 80
 
 
393
Eight Questions About Physician-Rating Websites: A Systematic Review
Martin Emmert, Uwe Sander, Frank Pisch
J Med Internet Res 2013;15(2):e24
(Feb 1, 2013)
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2 0.17 0.00 18 85
 
 
394
Smartphone Versus Pen-and-Paper Data Collection of Infant Feeding Practices in Rural China
Shuyi Zhang, Qiong Wu, Michelle HMMT van Velthoven, Li Chen, Josip Car, Igor Rudan, Yanfeng Zhang, Ye Li, Robert W Scherpbier
J Med Internet Res 2012;14(5):e119
(Sep 18, 2012)
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2 0.17 0.00 15 60
 
 
395
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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2 0.17 6.00 24 90
 
 
396
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 0.17 6.00 7 20
 
 
397
Patient-reported Outcomes as a Source of Evidence in Off-Label Prescribing: Analysis of Data From PatientsLikeMe
Jeana Frost, Sally Okun, Timothy Vaughan, James Heywood, Paul Wicks
J Med Internet Res 2011;13(1):e6
(Jan 21, 2011)
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2 0.17 6.00 24 90
 
 
398
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 0.17 1.00 32 90
 
 
399
The Law of Attrition Revisited
Helen Christensen, Andrew Mackinnon
J Med Internet Res 2006;8(3):e20
(Sep 29, 2006)
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2 0.17 1.00 0 0
 
 
400
Reducing Suicidal Ideation: Cost-Effectiveness Analysis of a Randomized Controlled Trial of Unguided Web-Based Self-help
Bregje A.J. van Spijker, M. Cristina Majo, Filip Smit, Annemieke van Straten, Ad J.F.M. Kerkhof
J Med Internet Res 2012;14(5):e141
(Oct 26, 2012)
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2 0.17 0.00 9 35
 
 
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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.