Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
11
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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11 15.50 0.00 10 75
 
 
12
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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8 10.33 0.00 8 70
 
 
13
Expectations of iPad Use in an Internal Medicine Residency Program: Is It Worth the “Hype”?
Nancy Luo, Christopher G. Chapman, Bhakti K. Patel, James N. Woodruff, Vineet M. Arora
J Med Internet Res 2013;15(5):e88
(May 8, 2013)
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8 8.00 0.00 44 90
 
 
14
Exploring the Value of Technology to Stimulate Interprofessional Discussion and Education: A Needs Assessment of Emergency Medicine Professionals
Jennifer Riley, Melissa McGowan, Linda Rozmovits
J Med Internet Res 2014;16(6):e162
(Jun 30, 2014)
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8 9.54 0.00 5 55
 
 
15
Response to: Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Melinda Hutchesson, Philip Morgan, Penelope Jones, Clare Collins
J Med Internet Res 2014;16(7):e178
(Jul 24, 2014)
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8 124.03 0.00 8 75
 
 
16
Does Self-Selection Affect Samples’ Representativeness in Online Surveys? An Investigation in Online Video Game Research
Yasser Khazaal, Mathias van Singer, Anne Chatton, Sophia Achab, Daniele Zullino, Stephane Rothen, Riaz Khan, Joel Billieux, Gabriel Thorens
J Med Internet Res 2014;16(7):e164
(Jul 7, 2014)
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8 13.05 0.00 8 65
 
 
17
Usability Testing of an Online Self-management Program for Adolescents With Juvenile Idiopathic Arthritis
Jennifer Stinson, Patrick McGrath, Ellen Hodnett, Brian Feldman, Ciaran Duffy, Adam Huber, Lori Tucker, Ross Hetherington, Shirley Tse, Lynn Spiegel, Sarah Campillo, Navreet Gill, Meghan White
J Med Internet Res 2010;12(3):e30
(Jul 29, 2010)
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8 8.00 0.00 11 30
 
 
18
Longitudinal Accuracy of Web-Based Self-Reported Weights: Results From the Hopkins POWER Trial
Gerald J Jerome, Arlene Dalcin, Janelle W Coughlin, Stephanie Fitzpatrick, Nae-Yuh Wang, Nowella Durkin, Hsin-Chieh Yeh, Jeanne Charleston, Thomas Pozefsky, Gail L Daumit, Jeanne M Clark, Thomas A Louis, Lawrence J Appel
J Med Internet Res 2014;16(7):e173
(Jul 15, 2014)
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8 22.55 0.00 8 55
 
 
19
The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions
David C Mohr, Stephen M Schueller, Enid Montague, Michelle Nicole Burns, Parisa Rashidi
J Med Internet Res 2014;16(6):e146
(Jun 5, 2014)
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8 8.00 0.00 35 95
 
 
20
A Web-Based Non-Intrusive Ambient System to Measure and Classify Activities of Daily Living
Reto A Stucki, Prabitha Urwyler, Luca Rampa, René Müri, Urs P Mosimann, Tobias Nef
J Med Internet Res 2014;16(7):e175
(Jul 21, 2014)
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7 43.40 0.00 7 65
 
 
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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.