Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
231
Increased Use of Twitter at a Medical Conference: A Report and a Review of the Educational Opportunities
Douglas RA McKendrick, Grant P Cumming, Amanda J Lee
J Med Internet Res 2012;14(6):e176
(Dec 11, 2012)
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1 0.17 0.00 105 95
 
 
232
Characterizing Periodic Messaging Interventions Across Health Behaviors and Media: Systematic Review
Elaine De Leon, Laura W Fuentes, Joanna E Cohen
J Med Internet Res 2014;16(3):e93
(Mar 25, 2014)
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1 0.17 0.00 10 80
 
 
233
Correction: Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2012;14(1):e7
(Jan 4, 2012)
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1 0.17 0.00 12 25
 
 
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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1 0.17 0.00 64 100
 
 
235
Classification Accuracies of Physical Activities Using Smartphone Motion Sensors
Wanmin Wu, Sanjoy Dasgupta, Ernesto E. Ramirez, Carlyn Peterson, Gregory J Norman
J Med Internet Res 2012;14(5):e130
(Oct 5, 2012)
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1 0.17 0.00 18 75
 
 
236
How Adolescents Use Technology for Health Information: Implications for Health Professionals from Focus Group Studies
Harvey Skinner, Sherry Biscope, Blake Poland, Eudice Goldberg
J Med Internet Res 2003;5(4):e32
(Dec 18, 2003)
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1 0.17 0.00 0 0
 
 
237
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 0.17 0.00 4 25
 
 
238
Using Chat and Text Technologies to Answer Sexual and Reproductive Health Questions: Planned Parenthood Pilot Study
Margaret M Giorgio, Leslie M Kantor, Deborah S Levine, Whitney Arons
J Med Internet Res 2013;15(9):e203
(Sep 20, 2013)
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1 0.17 0.00 15 85
 
 
239
Use of Twitter Among Local Health Departments: An Analysis of Information Sharing, Engagement, and Action
Brad L Neiger, Rosemary Thackeray, Scott H Burton, Callie R Thackeray, Jennifer H Reese
J Med Internet Res 2013;15(8):e177
(Aug 19, 2013)
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1 0.17 0.00 40 95
 
 
240
Impact of Seasonality on Recruitment, Retention, Adherence, and Outcomes in a Web-Based Smoking Cessation Intervention: Randomized Controlled Trial
Amanda L Graham, Sarah Cha, Nathan K Cobb, Ye Fang, Raymond S Niaura, Aaron Mushro
J Med Internet Res 2013;15(11):e249
(Nov 7, 2013)
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1 0.17 0.00 2 15
 
 
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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.