Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
A Multidimensional View of Personal Health Systems for Underserved Populations
Thomas A Horan, Nathan E Botts, Richard J Burkhard
J Med Internet Res 2010;12(3):e32
(Aug 4, 2010)
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33 5.50 0.00 30 85
 
 
32
Do Online Mental Health Services Improve Help-Seeking for Young People? A Systematic Review
Sylvia Deidre Kauer, Cheryl Mangan, Lena Sanci
J Med Internet Res 2014;16(3):e66
(Mar 4, 2014)
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32 21.56 0.00 23 95
 
 
33
Google Glass for Documentation of Medical Findings: Evaluation in Forensic Medicine
Urs-Vito Albrecht, Ute von Jan, Joachim Kuebler, Christoph Zoeller, Martin Lacher, Oliver J Muensterer, Max Ettinger, Michael Klintschar, Lars Hagemeier
J Med Internet Res 2014;16(2):e53
(Feb 12, 2014)
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32 15.03 0.00 23 80
 
 
34
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 5.13 30.00 23 90
 
 
35
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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25 77.50 0.00 22 90
 
 
36
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 8.33 0.00 16 95
 
 
37
Online Survey on Twitter: A Urological Experience
Fabrizio Dal Moro
J Med Internet Res 2013;15(10):e238
(Oct 25, 2013)
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24 4.23 72.00 24 90
 
 
38
Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network
Max Little, Paul Wicks, Timothy Vaughan, Alex Pentland
J Med Internet Res 2013;15(1):e20
(Jan 24, 2013)
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24 4.00 0.00 29 100
 
 
39
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis
Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado
J Med Internet Res 2013;15(6):e120
(Jun 14, 2013)
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24 4.00 30.00 103 100
 
 
40
Digital Asthma Self-Management Interventions: A Systematic Review
Deborah Morrison, Sally Wyke, Karolina Agur, Euan J Cameron, Robert I Docking, Alison M MacKenzie, Alex McConnachie, Vandana Raghuvir, Neil C Thomson, Frances S Mair
J Med Internet Res 2014;16(2):e51
(Feb 18, 2014)
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23 11.88 0.00 23 85
 
 
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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.