Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
41
User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom
Braden O'Neill, Sue Ziebland, Jose Valderas, Francisco Lupiáñez-Villanueva
J Med Internet Res 2014;16(4):e118
(Apr 30, 2014)
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22 6.04 0.00 21 80
 
 
42
Are Health Behavior Change Interventions That Use Online Social Networks Effective? A Systematic Review
Carol A Maher, Lucy K Lewis, Katia Ferrar, Simon Marshall, Ilse De Bourdeaudhuij, Corneel Vandelanotte
J Med Internet Res 2014;16(2):e40
(Feb 14, 2014)
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21 3.50 0.00 29 85
 
 
43
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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21 3.50 0.00 29 100
 
 
44
I Don't Believe It, But I'd Better Do Something About It: Patient Experiences of Online Heart Age Risk Calculators
Carissa Bonner, Jesse Jansen, Ben R Newell, Les Irwig, Paul Glasziou, Jenny Doust, Haryana Dhillon, Kirsten McCaffery
J Med Internet Res 2014;16(5):e120
(May 5, 2014)
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20 5.74 0.00 17 80
 
 
45
Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study
Thiago D Nascimento, Marcos F DosSantos, Theodora Danciu, Misty DeBoer, Hendrik van Holsbeeck, Sarah R Lucas, Christine Aiello, Leen Khatib, MaryCatherine A Bender, UMSoD (Under)Graduate Class Of 2014, Jon-Kar Zubieta, Alexandre F DaSilva
J Med Internet Res 2014;16(4):e96
(Apr 3, 2014)
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20 4.43 0.00 18 100
 
 
46
Does Brief Telephone Support Improve Engagement With a Web-Based Weight Management Intervention? Randomized Controlled Trial
Laura Dennison, Leanne Morrison, Scott Lloyd, Dawn Phillips, Beth Stuart, Sarah Williams, Katherine Bradbury, Paul Roderick, Elizabeth Murray, Susan Michie, Paul Little, Lucy Yardley
J Med Internet Res 2014;16(3):e95
(Mar 28, 2014)
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20 4.25 0.00 14 95
 
 
47
A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
S Anne Moorhead, Diane E. Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving
J Med Internet Res 2013;15(4):e85
(Apr 23, 2013)
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20 3.33 0.00 87 90
 
 
48
Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies
Stephen M Schueller, Mark Begale, Frank J Penedo, David C Mohr
J Med Internet Res 2014;16(7):e181
(Jul 30, 2014)
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19 26.77 0.00 16 90
 
 
49
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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19 12.27 0.00 10 75
 
 
50
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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19 11.78 0.00 8 70
 
 
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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.