Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
351
Designing for Psychological Change: Individuals’ Reward and Cost Valuations in Weight Management
Anne Hsu, Ann Blandford
J Med Internet Res 2014;16(6):e138
(Jun 26, 2014)
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3 1.43 0.00 3 35
 
 
352
A Smart Web Aid for Preventing Diabetes in Rural China: Preliminary Findings and Lessons
Penglai Chen, Jing Chai, Jing Cheng, Kaichun Li, Shaoyu Xie, Han Liang, Xingrong Shen, Rui Feng, Debin Wang
J Med Internet Res 2014;16(4):e98
(Apr 1, 2014)
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3 0.62 0.00 3 40
 
 
353
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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3 0.50 0.00 2 35
 
 
354
Relative Validity of Micronutrient and Fiber Intake Assessed With Two New Interactive Meal- and Web-Based Food Frequency Questionnaires
Sara E Christensen, Elisabeth Möller, Stephanie E Bonn, Alexander Ploner, Olle Bälter, Lauren Lissner, Katarina Bälter
J Med Internet Res 2014;16(2):e59
(Feb 21, 2014)
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3 0.49 0.00 3 30
 
 
355
Applying Computerized Adaptive Testing to the Negative Acts Questionnaire-Revised: Rasch Analysis of Workplace Bullying
Shu-Ching Ma, Tsair-Wei Chien, Hsiu-Hung Wang, Yu-Chi Li, Mei-Shu Yui
J Med Internet Res 2014;16(2):e50
(Feb 17, 2014)
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3 0.48 0.00 3 30
 
 
356
In the Words of the Medical Tourist: An Analysis of Internet Narratives by Health Travelers to Turkey
Margaret E Ozan-Rafferty, James A Johnson, Gulzar H Shah, Attila Kursun
J Med Internet Res 2014;16(2):e43
(Feb 6, 2014)
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3 0.45 0.00 3 20
 
 
357
Title Correction: Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study
Fabian Sudau, Tim Friede, Jens Grabowski, Janka Koschack, Philip Makedonski, Wolfgang Himmel
J Med Internet Res 2014;16(1):e39
(Jan 31, 2014)
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3 0.44 0.00 3 30
 
 
358
Using Ecological Momentary Assessment to Test the Effectiveness of a Web-Based Brief Alcohol Intervention Over Time Among Heavy-Drinking Students: Randomized Controlled Trial
Carmen Voogt, Emmanuel Kuntsche, Marloes Kleinjan, Evelien Poelen, Rutger Engels
J Med Internet Res 2014;16(1):e5
(Jan 8, 2014)
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3 0.40 1.00 2 25
 
 
359
Puzzling With Online Games (BAM-COG): Reliability, Validity, and Feasibility of an Online Self-Monitor for Cognitive Performance in Aging Adults
Teun Aalbers, Maria A E Baars, Marcel G M Olde Rikkert, Roy P C Kessels
J Med Internet Res 2013;15(12):e270
(Dec 3, 2013)
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3 0.34 8.00 3 25
 
 
360
Correction: Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study
Andrey Zheluk, Casey Quinn, Daniel Hercz, James A Gillespie
J Med Internet Res 2013;15(11):e267
(Nov 26, 2013)
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3 0.34 1.00 3 15
 
 
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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.