Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
11
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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12 12.00 0.00 97 95
 
 
12
Wikipedia: A Key Tool for Global Public Health Promotion
James M Heilman, Eckhard Kemmann, Michael Bonert, Anwesh Chatterjee, Brent Ragar, Graham M Beards, David J Iberri, Matthew Harvey, Brendan Thomas, Wouter Stomp, Michael F Martone, Daniel J Lodge, Andrea Vondracek, Jacob F de Wolff, Casimir Liber, Samir C Grover, Tim J Vickers, Bertalan Meskó, Michaël R Laurent
J Med Internet Res 2011;13(1):e14
(Jan 31, 2011)
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11 11.00 0.00 82 100
 
 
13
The Effectiveness of Loyalty Rewards to Promote the Use of an Internet-Based Heart Health Program
Sam Liu, Corinne Hodgson, Ahmad M Zbib, Ada YM Payne, Robert P Nolan
J Med Internet Res 2014;16(7):e163
(Jul 2, 2014)
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11 11.00 0.00 8 70
 
 
14
The Behavioral Intervention Technology Model and Intervention Mapping: The Best of Both Worlds
Rik Crutzen
J Med Internet Res 2014;16(8):e188
(Aug 5, 2014)
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11 20.06 0.00 11 85
 
 
15
A Web-Based Peer-Modeling Intervention Aimed at Lifestyle Changes in Patients With Coronary Heart Disease and Chronic Back Pain: Sequential Controlled Trial
Rebecca Schweier, Matthias Romppel, Cynthia Richter, Eike Hoberg, Harry Hahmann, Inge Scherwinski, Gregor Kosmützky, Gesine Grande
J Med Internet Res 2014;16(7):e177
(Jul 23, 2014)
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10 10.33 0.00 10 70
 
 
16
Predictors of eHealth Usage: Insights on The Digital Divide From the Health Information National Trends Survey 2012
Emily Kontos, Kelly D Blake, Wen-Ying Sylvia Chou, Abby Prestin
J Med Internet Res 2014;16(7):e172
(Jul 16, 2014)
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10 10.00 0.00 38 95
 
 
17
Online Dietary Intake Estimation: Reproducibility and Validity of the Food4Me Food Frequency Questionnaire Against a 4-Day Weighed Food Record
Rosalind Fallaize, Hannah Forster, Anna L Macready, Marianne C Walsh, John C Mathers, Lorraine Brennan, Eileen R Gibney, Michael J Gibney, Julie A Lovegrove
J Med Internet Res 2014;16(8):e190
(Aug 11, 2014)
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9 25.37 0.00 9 75
 
 
18
Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal
Ashutosh Jadhav, Donna Andrews, Alexander Fiksdal, Ashok Kumbamu, Jennifer B McCormick, Andrew Misitano, Laurie Nelsen, Euijung Ryu, Amit Sheth, Stephen Wu, Jyotishman Pathak
J Med Internet Res 2014;16(7):e160
(Jul 4, 2014)
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8 8.00 0.00 10 75
 
 
19
Response to: Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Melinda J Hutchesson, Philip J Morgan, Penelope McCoy, Clare E Collins
J Med Internet Res 2014;16(7):e178
(Jul 24, 2014)
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8 8.55 0.00 8 70
 
 
20
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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8 8.00 0.00 56 100
 
 
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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.