Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
41
Computer-Delivered and Web-Based Interventions to Improve Depression, Anxiety, and Psychological Well-Being of University Students: A Systematic Review and Meta-Analysis
E Bethan Davies, Richard Morriss, Cris Glazebrook
J Med Internet Res 2014;16(5):e130
(May 16, 2014)
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23 9.51 0.00 17 75
 
 
42
Using Online Social Media for Recruitment of Human Immunodeficiency Virus-Positive Participants: A Cross-Sectional Survey
Patrick Yuan, Michael G Bare, Mallory O Johnson, Parya Saberi
J Med Internet Res 2014;16(5):e117
(May 1, 2014)
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23 7.92 0.00 17 80
 
 
43
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 4.40 0.00 23 85
 
 
44
Harnessing the Social Web for Health and Wellness: Issues for Research and Knowledge Translation
Kendall Ho, Peter Wall Workshop Participants
J Med Internet Res 2014;16(2):e34
(Feb 11, 2014)
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23 4.22 0.00 19 80
 
 
45
Effectiveness of a Web-Based Solution-Focused Brief Chat Treatment for Depressed Adolescents and Young Adults: Randomized Controlled Trial
Jeannet Kramer, Barbara Conijn, Pien Oijevaar, Heleen Riper
J Med Internet Res 2014;16(5):e141
(May 29, 2014)
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22 11.00 0.00 13 75
 
 
46
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 7.49 0.00 21 80
 
 
47
Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Jason Tang, Charles Abraham, Colin Greaves, Tom Yates
J Med Internet Res 2014;16(2):e58
(Feb 19, 2014)
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22 4.24 0.00 13 70
 
 
48
The Role of Facebook in Crush the Crave, a Mobile- and Social Media-Based Smoking Cessation Intervention: Qualitative Framework Analysis of Posts
Laura Louise Struik, Neill Bruce Baskerville
J Med Internet Res 2014;16(7):e170
(Jul 11, 2014)
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21 34.26 0.00 21 95
 
 
49
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 7.21 0.00 17 80
 
 
50
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 5.25 0.00 18 100
 
 
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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.