Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
71
Efficacy of a Text Message-Based Smoking Cessation Intervention for Young People: A Cluster Randomized Controlled Trial
Severin Haug, Michael P Schaub, Vigeli Venzin, Christian Meyer, Ulrich John
J Med Internet Res 2013;15(8):e171
(Aug 16, 2013)
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27 3.43 47.00 16 85
 
 
72
Definition of Health 2.0 and Medicine 2.0: A Systematic Review
Tom H Van De Belt, Lucien JLPG Engelen, Sivera AA Berben, Lisette Schoonhoven
J Med Internet Res 2010;12(2):e18
(Jun 11, 2010)
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27 2.25 10.00 89 100
 
 
73
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Morwenna Kirwan, Corneel Vandelanotte, Andrew Fenning, Mitch J Duncan
J Med Internet Res 2013;15(11):e235
(Nov 13, 2013)
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26 5.20 30.00 23 90
 
 
74
An Exploration of Social Circles and Prescription Drug Abuse Through Twitter
Carl Lee Hanson, Ben Cannon, Scott Burton, Christophe Giraud-Carrier
J Med Internet Res 2013;15(9):e189
(Sep 6, 2013)
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26 3.61 82.00 21 85
 
 
75
An 8-Week Web-Based Weight Loss Challenge With Celebrity Endorsement and Enhanced Social Support: Observational Study
Melinda J Hutchesson, Clare E Collins, Philip J Morgan, Robin Callister
J Med Internet Res 2013;15(7):e129
(Jul 4, 2013)
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26 2.81 90.00 26 90
 
 
76
Prevalence of Behavior Changing Strategies in Fitness Video Games: Theory-Based Content Analysis
Elizabeth Jane Lyons, Claire Hatkevich
J Med Internet Res 2013;15(5):e81
(May 7, 2013)
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26 2.34 6.00 17 80
 
 
77
The Effects on Health Behavior and Health Outcomes of Internet-Based Asynchronous Communication Between Health Providers and Patients With a Chronic Condition: A Systematic Review
Catharina Carolina de Jong, Wynand JG Ros, Guus Schrijvers
J Med Internet Res 2014;16(1):e19
(Jan 16, 2014)
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25 8.52 0.00 16 95
 
 
78
Digital Social Media, Youth, and Nonmedical Use of Prescription Drugs: The Need for Reform
Tim K Mackey, Bryan A Liang, Steffanie A Strathdee
J Med Internet Res 2013;15(7):e143
(Jul 26, 2013)
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25 2.92 44.00 9 65
 
 
79
Long-Term Doctor-Patient Relationships: Patient Perspective From Online Reviews
Alissa Detz, Andrea López, Urmimala Sarkar
J Med Internet Res 2013;15(7):e131
(Jul 2, 2013)
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25 2.68 67.00 14 65
 
 
80
Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older
Madlen Arnhold, Mandy Quade, Wilhelm Kirch
J Med Internet Res 2014;16(4):e104
(Apr 9, 2014)
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24 92.99 0.00 22 90
 
 
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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.