Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
211
Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries
Elad Yom-Tov, Evgeniy Gabrilovich
J Med Internet Res 2013;15(6):e124
(Jun 18, 2013)
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2 0.33 0.00 17 75
 
 
212
Healthy Weight Regulation and Eating Disorder Prevention in High School Students: A Universal and Targeted Web-Based Intervention
Megan Jones, Katherine Taylor Lynch, Andrea E Kass, Amanda Burrows, Joanne Williams, Denise E Wilfley, C Barr Taylor
J Med Internet Res 2014;16(2):e57
(Feb 27, 2014)
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2 0.33 0.00 4 40
 
 
213
Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework
Kacie CA Blackman, Jamie Zoellner, Leanna M Berrey, Ramine Alexander, Jason Fanning, Jennie L Hill, Paul A Estabrooks
J Med Internet Res 2013;15(10):e224
(Oct 4, 2013)
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2 0.33 0.00 12 65
 
 
214
Design of a Website on Nutrition and Physical Activity for Adolescents: Results From Formative Research
Debbe Thompson, Karen Weber Cullen, Carol Boushey, Karen Konzelmann
J Med Internet Res 2012;14(2):e59
(Apr 26, 2012)
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2 0.33 0.00 22 80
 
 
215
Social Media and Rating Sites as Tools to Understanding Quality of Care: A Scoping Review
Lise M Verhoef, Tom H Van de Belt, Lucien JLPG Engelen, Lisette Schoonhoven, Rudolf B Kool
J Med Internet Res 2014;16(2):e56
(Feb 20, 2014)
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2 0.33 0.00 16 75
 
 
216
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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2 0.33 0.00 64 100
 
 
217
Do Email and Mobile Phone Prompts Stimulate Primary School Children to Reuse an Internet-Delivered Smoking Prevention Intervention?
Henricus-Paul Cremers, Liesbeth Mercken, Rik Crutzen, Paul Willems, Hein de Vries, Anke Oenema
J Med Internet Res 2014;16(3):e86
(Mar 18, 2014)
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2 0.33 0.00 4 55
 
 
218
Applying Computer Adaptive Testing to Optimize Online Assessment of Suicidal Behavior: A Simulation Study
Derek Paul De Beurs, Anton LM de Vries, Marieke H de Groot, Jos de Keijser, Ad JFM Kerkhof
J Med Internet Res 2014;16(9):e207
(Sep 11, 2014)
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2 6.20 0.00 2 35
 
 
219
Development and Testing of a Multidimensional iPhone Pain Assessment Application for Adolescents with Cancer
Jennifer N Stinson, Lindsay A Jibb, Cynthia Nguyen, Paul C Nathan, Anne Marie Maloney, L Lee Dupuis, J Ted Gerstle, Benjamin Alman, Sevan Hopyan, Caron Strahlendorf, Carol Portwine, Donna L Johnston, Mike Orr
J Med Internet Res 2013;15(3):e51
(Mar 8, 2013)
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2 0.33 0.00 25 80
 
 
220
Cardiovascular Health Effects of Internet-Based Encouragements to Do Daily Workplace Stair-Walks: Randomized Controlled Trial
Lars Louis Andersen, Emil Sundstrup, Marianne Boysen, Markus Due Jakobsen, Ole Steen Mortensen, Roger Persson
J Med Internet Res 2013;15(6):e127
(Jun 21, 2013)
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1 0.17 0.00 6 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.