Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
71
Parent Opinions About Use of Text Messaging for Immunization Reminders
Carolyn Rose Ahlers-Schmidt, Amy K Chesser, Angelia M Paschal, Traci A Hart, Katherine S Williams, Beryl Yaghmai, Sapna Shah-Haque
J Med Internet Res 2012;14(3):e83
(Jun 6, 2012)
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25 2.23 85.00 21 55
 
 
72
A Novel Evaluation of World No Tobacco Day in Latin America
John W Ayers, Benjamin M Althouse, Jon-Patrick Allem, Daniel E Ford, Kurt M Ribisl, Joanna E Cohen
J Med Internet Res 2012;14(3):e77
(May 28, 2012)
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25 2.18 52.00 24 75
 
 
73
A Comparison of Two Delivery Modalities of a Mobile Phone-Based Assessment for Serious Mental Illness: Native Smartphone Application vs Text-Messaging Only Implementations
John Ainsworth, Jasper E Palmier-Claus, Matthew Machin, Christine Barrowclough, Graham Dunn, Anne Rogers, Iain Buchan, Emma Barkus, Shitij Kapur, Til Wykes, Richard S Hopkins, Shôn Lewis
J Med Internet Res 2013;15(4):e60
(Apr 5, 2013)
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24 16.91 55.00 18 75
 
 
74
What Young People Want From a Sexual Health Website: Design and Development of Sexunzipped
Ona McCarthy, Kenneth Carswell, Elizabeth Murray, Caroline Free, Fiona Stevenson, Julia V Bailey
J Med Internet Res 2012;14(5):e127
(Oct 12, 2012)
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24 3.40 35.00 19 70
 
 
75
Beyond Efficacy: The Depth and Diversity of Current Internet Interventions
Helen Christensen, Alison L Calear, Gerhard Andersson, Frances P Thorndike, Robert J Tait
J Med Internet Res 2012;14(3):e92
(Jun 29, 2012)
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24 2.30 50.00 18 65
 
 
76
De-identification Methods for Open Health Data: The Case of the Heritage Health Prize Claims Dataset
Khaled El Emam, Luk Arbuckle, Gunes Koru, Benjamin Eze, Lisa Gaudette, Emilio Neri, Sean Rose, Jeremy Howard, Jonathan Gluck
J Med Internet Res 2012;14(1):e33
(Feb 27, 2012)
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24 2.00 47.00 24 60
 
 
77
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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24 2.00 42.00 65 100
 
 
78
Web-Based Treatment Program Using Intensive Therapeutic Contact for Patients With Eating Disorders: Before-After Study
Elke D. ter Huurne, Marloes G. Postel, Hein A. de Haan, Constance H.C. Drossaert, Cor A.J. DeJong
J Med Internet Res 2013;15(2):e12
(Feb 4, 2013)
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23 6.86 19.00 21 90
 
 
79
Health Professionals' Expectations Versus Experiences of Internet-Based Telemonitoring: Survey Among Heart Failure Clinics
Arjen E. de Vries, Martje H.L. van der Wal, Maurice M.W. Nieuwenhuis, Richard M. de Jong, Rene B. van Dijk, Tiny Jaarsma, Hans L. Hillege
J Med Internet Res 2013;15(1):e4
(Jan 10, 2013)
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23 5.53 76.00 22 90
 
 
80
Patient Attitudes Toward Mobile Phone-Based Health Monitoring: Questionnaire Study Among Kidney Transplant Recipients
John William McGillicuddy, Ana Katherine Weiland, Ronja Maximiliane Frenzel, Martina Mueller, Brenda Marie Brunner-Jackson, David James Taber, Prabhakar Kalyanpur Baliga, Frank Anton Treiber
J Med Internet Res 2013;15(1):e6
(Jan 8, 2013)
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23 5.44 59.00 21 75
 
 
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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.