Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
251
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
 
 
252
Pedometer-Based Internet-Mediated Intervention For Adults With Chronic Low Back Pain: Randomized Controlled Trial
Sarah L Krein, Reema Kadri, Maria Hughes, Eve A Kerr, John D Piette, Rob Holleman, Hyungjin Myra Kim, Caroline R Richardson
J Med Internet Res 2013;15(8):e181
(Aug 22, 2013)
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1 0.17 0.00 23 85
 
 
253
Evaluation of an Internet-Based Hearing Test—Comparison with Established Methods for Detection of Hearing Loss
Christin Bexelius, Louise Honeth, Alexandra Ekman, Mikael Eriksson, Sven Sandin, Dan Bagger-Sjöbäck, Jan-Eric Litton
J Med Internet Res 2008;10(4):e32
(Oct 21, 2008)
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1 0.17 0.00 0 0
 
 
254
Effects of Functional Interactivity on Patients’ Knowledge, Empowerment, and Health Outcomes: An Experimental Model-Driven Evaluation of a Web-Based Intervention
Luca Camerini, Peter Johannes Schulz
J Med Internet Res 2012;14(4):e105
(Jul 18, 2012)
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1 0.17 0.00 15 70
 
 
255
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
 
 
256
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
 
 
257
Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis
Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, Erik Augustson
J Med Internet Res 2011;13(1):e7
(Jan 17, 2011)
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1 0.17 0.00 30 100
 
 
258
Silence is Golden: Effect of Encouragement in Motivating the Weak Link in an Online Exercise Video Game
Brandon C Irwin, Deborah L Feltz, Norbert L Kerr
J Med Internet Res 2013;15(6):e104
(Jun 4, 2013)
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1 0.17 0.00 5 35
 
 
259
The Psychometric Properties of CollaboRATE: A Fast and Frugal Patient-Reported Measure of the Shared Decision-Making Process
Paul James Barr, Rachel Thompson, Thom Walsh, Stuart W Grande, Elissa M Ozanne, Glyn Elwyn
J Med Internet Res 2014;16(1):e2
(Jan 3, 2014)
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1 0.17 0.00 10 65
 
 
260
Seeking Insights About Cycling Mood Disorders via Anonymized Search Logs
Elad Yom-Tov, Ryen W White, Eric Horvitz
J Med Internet Res 2014;16(2):e65
(Feb 25, 2014)
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1 0.17 0.00 2 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.