Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
251
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
 
 
252
Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Jason Tang, Charles Abraham, Colin Greaves, Tom Yates
J Med Internet Res 2014;16(2):e58
(Feb 19, 2014)
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1 0.17 0.00 13 70
 
 
253
Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire
Leila Pfaeffli, Ralph Maddison, Yannan Jiang, Lance Dalleck, Marie Löf
J Med Internet Res 2013;15(3):e61
(Mar 22, 2013)
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1 0.17 0.00 15 65
 
 
254
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
 
 
255
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
 
 
256
Why Business Modeling is Crucial in the Development of eHealth Technologies
Maarten van Limburg, Julia EWC van Gemert-Pijnen, Nicol Nijland, Hans C Ossebaard, Ron MG Hendrix, Erwin R Seydel
J Med Internet Res 2011;13(4):e124
(Dec 28, 2011)
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1 0.17 0.00 27 85
 
 
257
How Patients With Schizophrenia Use the Internet: Qualitative Study
Beate Schrank, Ingrid Sibitz, Annemarie Unger, Michaela Amering
J Med Internet Res 2010;12(5):e70
(Dec 19, 2010)
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1 0.17 0.00 19 100
 
 
258
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
 
 
259
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
 
 
260
Harnessing Context Sensing to Develop a Mobile Intervention for Depression
Michelle Nicole Burns, Mark Begale, Jennifer Duffecy, Darren Gergle, Chris J Karr, Emily Giangrande, David C Mohr
J Med Internet Res 2011;13(3):e55
(Aug 12, 2011)
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1 0.17 0.00 10 50
 
 
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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.