Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
61
Using Chat and Text Technologies to Answer Sexual and Reproductive Health Questions: Planned Parenthood Pilot Study
Margaret M Giorgio, Leslie M Kantor, Deborah S Levine, Whitney Arons
J Med Internet Res 2013;15(9):e203
(Sep 20, 2013)
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30 2.99 88.00 15 85
 
 
62
A Method for the Design and Development of Medical or Health Care Information Websites to Optimize Search Engine Results Page Rankings on Google
Suzanne Dunne, Niamh Maria Cummins, Ailish Hannigan, Bill Shannon, Colum Dunne, Walter Cullen
J Med Internet Res 2013;15(8):e183
(Aug 27, 2013)
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30 2.78 24.00 15 60
 
 
63
Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study
Laura Dennison, Leanne Morrison, Gemma Conway, Lucy Yardley
J Med Internet Res 2013;15(4):e86
(Apr 18, 2013)
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30 2.50 5.00 85 95
 
 
64
Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research
Thomas Lorchan Lewis, Matthew Alexander Boissaud-Cooke, Timothy Dy Aungst, Gunther Eysenbach
J Med Internet Res 2014;16(7):e174
(Jul 17, 2014)
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28 78.92 0.00 24 90
 
 
65
Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey
Louisa Edwards, Clare Thomas, Alison Gregory, Lucy Yardley, Alicia O'Cathain, Alan A Montgomery, Chris Salisbury
J Med Internet Res 2014;16(5):e123
(May 8, 2014)
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27 10.33 0.00 14 80
 
 
66
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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27 4.34 0.00 16 95
 
 
67
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 2.42 47.00 16 85
 
 
68
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
 
 
69
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 3.14 30.00 23 90
 
 
70
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 2.48 82.00 21 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.