Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
371
Participant Profiles According to Recruitment Source in a Large Web-Based Prospective Study: Experience From the Nutrinet-Santé Study
Emmanuelle Kesse-Guyot, Valentina Andreeva, Katia Castetbon, Michel Vernay, Mathilde Touvier, Caroline Méjean, Chantal Julia, Pilar Galan, Serge Hercberg
J Med Internet Res 2013;15(9):e205
(Sep 13, 2013)
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2 0.29 1.00 2 10
 
 
372
Exploring Patients' Views of a Cognitive Behavioral Therapy-Based Website for the Self-Management of Irritable Bowel Syndrome Symptoms
Sarah Tonkin-Crine, Felicity L Bishop, Matthew Ellis, Rona Moss-Morris, Hazel Everitt
J Med Internet Res 2013;15(9):e190
(Sep 3, 2013)
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2 0.28 1.00 2 15
 
 
373
Enhancing Retention of an Internet-Based Cohort Study of Men Who Have Sex With Men (MSM) via Text Messaging: Randomized Controlled Trial
Christine M Khosropour, Brent A Johnson, Alexandra V Ricca, Patrick S Sullivan
J Med Internet Res 2013;15(8):e194
(Aug 27, 2013)
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2 0.27 1.00 2 30
 
 
374
The MOnitoring Resynchronization dEvices and CARdiac patiEnts (MORE-CARE) Randomized Controlled Trial: Phase 1 Results on Dynamics of Early Intervention With Remote Monitoring
Giuseppe Boriani, Antoine Da Costa, Renato Pietro Ricci, Aurelio Quesada, Stefano Favale, Saverio Iacopino, Francesco Romeo, Arnaldo Risi, Lorenza Mangoni di S Stefano, Xavier Navarro, Mauro Biffi, Massimo Santini, Haran Burri, On Behalf Of The MORE-CARE Investigators
J Med Internet Res 2013;15(8):e167
(Aug 21, 2013)
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2 0.26 1.00 2 30
 
 
375
Claiming Positive Results From Negative Trials: A Cause for Concern in Randomized Controlled Trial Research
John A Cunningham
J Med Internet Res 2013;15(8):e179
(Aug 19, 2013)
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2 0.26 2.00 2 35
 
 
376
Development of an Obesity Management Ontology Based on the Nursing Process for the Mobile-Device Domain
Hyun-Young Kim, Hyeoun-Ae Park, Yul Ha Min, Eunjoo Jeon
J Med Internet Res 2013;15(6):e130
(Jun 28, 2013)
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2 0.21 7.00 2 15
 
 
377
Two New Meal- and Web-Based Interactive Food Frequency Questionnaires: Validation of Energy and Macronutrient Intake
Sara E Christensen, Elisabeth Möller, Stephanie E Bonn, Alexander Ploner, Antony Wright, Arvid Sjölander, Olle Bälter, Lauren Lissner, Katarina Bälter
J Med Internet Res 2013;15(6):e109
(Jun 5, 2013)
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2 0.20 8.00 1 10
 
 
378
Work and “Mass Personal” Communication as Means of Navigating Nutrition and Exercise Concerns in an Online Cancer Community
Brad Love, Charee M. Thompson, Brittani Crook, Erin Donovan-Kicken
J Med Internet Res 2013;15(5):e102
(May 31, 2013)
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2 0.19 0.00 2 15
 
 
379
Examining the Differences in Format and Characteristics of Zoonotic Virus Surveillance Data on State Agency Websites
Matthew Scotch, Brittany Baarson, Rachel Beard, Robert Lauder, Aarthi Varman, Rolf U. Halden
J Med Internet Res 2013;15(4):e90
(Apr 29, 2013)
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2 0.18 0.00 2 10
 
 
380
Effectiveness of a Self-Guided Web-Based Cannabis Treatment Program: Randomized Controlled Trial
Sally Rooke, Jan Copeland, Melissa Norberg, Donald Hine, Jim McCambridge
J Med Internet Res 2013;15(2):e26
(Feb 15, 2013)
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2 0.17 0.00 6 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.