Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
231
Sociotechnical Challenges and Progress in Using Social Media for Health
Sean A Munson, Hasan Cavusoglu, Larry Frisch, Sidney Fels
J Med Internet Res 2013;15(10):e226
(Oct 22, 2013)
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2 0.33 0.00 36 95
 
 
232
Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study
Joseph A Cafazzo, Mark Casselman, Nathaniel Hamming, Debra K Katzman, Mark R Palmert
J Med Internet Res 2012;14(3):e70
(May 8, 2012)
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2 0.33 0.00 47 90
 
 
233
Perceptions of Successful Cues to Action and Opportunities to Augment Behavioral Triggers in Diabetes Self-Management: Qualitative Analysis of a Mobile Intervention for Low-Income Latinos With Diabetes
Elizabeth R Burner, Michael D Menchine, Katrina Kubicek, Marisela Robles, Sanjay Arora
J Med Internet Res 2014;16(1):e25
(Jan 29, 2014)
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2 0.33 0.00 4 30
 
 
234
Use of Sentiment Analysis for Capturing Patient Experience From Free-Text Comments Posted Online
Felix Greaves, Daniel Ramirez-Cano, Christopher Millett, Ara Darzi, Liam Donaldson
J Med Internet Res 2013;15(11):e239
(Nov 1, 2013)
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2 0.33 0.00 64 100
 
 
235
Standardized, App-Based Disinfection of iPads in a Clinical and Nonclinical Setting: Comparative Analysis
Urs-Vito Albrecht, Ute von Jan, Ludwig Sedlacek, Stephanie Groos, Sebastian Suerbaum, Ralf-Peter Vonberg
J Med Internet Res 2013;15(8):e176
(Aug 14, 2013)
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2 0.33 0.00 19 100
 
 
236
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 0.33 0.00 15 60
 
 
237
Physician Response Time When Communicating With Patients Over the Internet
Per Egil Kummervold, Jan-Are K Johnsen
J Med Internet Res 2011;13(4):e79
(Nov 1, 2011)
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2 0.33 0.00 27 90
 
 
238
Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks
Hua Gu, Bin Chen, Honghong Zhu, Tao Jiang, Xinyi Wang, Lei Chen, Zhenggang Jiang, Dawei Zheng, Jianmin Jiang
J Med Internet Res 2014;16(1):e20
(Jan 17, 2014)
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1 0.17 0.00 4 40
 
 
239
Net Improvement of Correct Answers to Therapy Questions After PubMed Searches: Pre/Post Comparison
Kathleen Ann McKibbon, Cynthia Lokker, Arun Keepanasseril, Nancy L Wilczynski, R Brian Haynes
J Med Internet Res 2013;15(11):e243
(Nov 8, 2013)
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1 0.17 0.00 10 60
 
 
240
Sharing Health Data for Better Outcomes on PatientsLikeMe
Paul Wicks, Michael Massagli, Jeana Frost, Catherine Brownstein, Sally Okun, Timothy Vaughan, Richard Bradley, James Heywood
J Med Internet Res 2010;12(2):e19
(Jun 14, 2010)
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1 0.17 0.00 46 95
 
 
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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.