Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
441
Comparison of Trial Participants and Open Access Users of a Web-Based Physical Activity Intervention Regarding Adherence, Attrition, and Repeated Participation
Miriam Wanner, Eva Martin-Diener, Georg Bauer, Charlotte Braun-Fahrländer, Brian W Martin
J Med Internet Res 2010;12(1):e3
(Feb 10, 2010)
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9 0.23 29.00 3 5
 
 
442
An Electronic Clinical Decision Support Tool to Assist Primary Care Providers in Cardiovascular Disease Risk Management: Development and Mixed Methods Evaluation
David Peiris, Rohina Joshi, Ruth Webster, Patrick Groenestein, Tim Usherwood, Emma Heeley, Fiona Turnbull, Alexandra Lipman, Anushka Patel
J Med Internet Res 2009;11(4):e51
(Dec 17, 2009)
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9 0.22 32.00 4 15
 
 
443
An Evaluation of Patient-Physician Communication Style During Telemedicine Consultations
Zia Agha, Debra L. Roter, Ralph M. Schapira
J Med Internet Res 2009;11(3):e36
(Sep 30, 2009)
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9 0.21 14.00 4 30
 
 
444
Ability to Generate Patient Registries Among Practices With and Without Electronic Health Records
Adam Wright, Elizabeth McGlinchey, Eric Poon, Chelsea Jenter, David Bates, Steven Simon
J Med Internet Res 2009;11(3):e31
(Aug 10, 2009)
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9 0.20 14.00 8 70
 
 
445
Feasibility and Effectiveness of Online Physical Activity Advice Based on a Personal Activity Monitor: Randomized Controlled Trial
Sander Slootmaker, Mai Chinapaw, Albertine Schuit, Jacob Seidell, Willem van Mechelen
J Med Internet Res 2009;11(3):e27
(Jul 29, 2009)
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9 0.20 22.00 6 50
 
 
446
Effect of Adding a Virtual Community (Bulletin Board) to Smokefree.gov: Randomized Controlled Trial
Jacqueline Stoddard, Erik Augustson, Rick Moser
J Med Internet Res 2008;10(5):e53
(Dec 19, 2008)
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9 0.17 10.00 0 0
 
 
447
eHealth Trends in Europe 2005-2007: A Population-Based Survey
Per Kummervold, Catherina Chronaki, Berthold Lausen, Hans-Ulrich Prokosch, Janne Rasmussen, Silvina Santana, Andrzej Staniszewski, Silje Wangberg
J Med Internet Res 2008;10(4):e42
(Nov 17, 2008)
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9 0.17 34.00 1 50
 
 
448
What Internet Services Would Patients Like From Hospitals During an Epidemic? Lessons From the SARS Outbreak in Toronto
Carlos A Rizo, Doina Lupea, Homayoun Baybourdy, Matthew Anderson, Tom Closson, Alejandro R Jadad
J Med Internet Res 2005;7(4):e46
(Aug 3, 2005)
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9 0.14 32.00 0 0
 
 
449
Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph
David Donaire-Gonzalez, Audrey de Nazelle, Edmund Seto, Michelle Mendez, Mark J Nieuwenhuijsen, Michael Jerrett
J Med Internet Res 2013;15(6):e111
(Jun 13, 2013)
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8 35.43 6.00 8 60
 
 
450
Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study
Daniel Kutz, Kalpana Shankar, Kay Connelly
J Med Internet Res 2013;15(5):e83
(May 14, 2013)
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8 6.70 13.00 7 25
 
 
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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.

 * Tweets Data Collection began January 2008