Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
181
Growing a Professional Network to Over 3000 Members in Less Than 4 Years: Evaluation of InspireNet, British Columbia’s Virtual Nursing Health Services Research Network
Noreen Frisch, Pat Atherton, Elizabeth Borycki, Grace Mickelson, Jennifer Cordeiro, Helen Novak Lauscher, Agnes Black
J Med Internet Res 2014;16(2):e49
(Feb 21, 2014)
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3 0.50 0.00 7 45
 
 
182
Collecting Maternal Health Information From HIV-Positive Pregnant Women Using Mobile Phone-Assisted Face-to-Face Interviews in Southern Africa
Alastair van Heerden, Shane Norris, Stephen Tollman, Linda Richter, Mary Jane Rotheram-Borus
J Med Internet Res 2013;15(6):e116
(Jun 10, 2013)
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3 0.50 0.00 9 60
 
 
183
Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months
Lichin Chen, Lee-Ming Chuang, Chia-Hsiun Chang, Chiou-Shiang Wang, I-Ching Wang, Yufang Chung, Hui-Yu Peng, Hui-Chuen Chen, Yu-Ling Hsu, Yu-Sheng Lin, Huang-Jen Chen, Tieng-Chun Chang, Yi-Der Jiang, Hung-Chang Lee, Ching-Ting Tan, Hsin-Lu Chang, Feipei Lai
J Med Internet Res 2013;15(12):e266
(Dec 9, 2013)
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3 0.50 0.00 14 95
 
 
184
Online Social Networks and Smoking Cessation: A Scientific Research Agenda
Nathan K Cobb, Amanda L Graham, M Justin Byron, David B Abrams, Workshop Participants
J Med Internet Res 2011;13(4):e119
(Dec 19, 2011)
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3 0.50 0.00 19 80
 
 
185
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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3 0.50 0.00 22 85
 
 
186
Cost-Utility Analysis of the EVOLVO Study on Remote Monitoring for Heart Failure Patients With Implantable Defibrillators: Randomized Controlled Trial
Paolo Zanaboni, Maurizio Landolina, Maurizio Marzegalli, Maurizio Lunati, Giovanni B Perego, Giuseppe Guenzati, Antonio Curnis, Sergio Valsecchi, Francesca Borghetti, Gabriella Borghi, Cristina Masella
J Med Internet Res 2013;15(5):e106
(May 30, 2013)
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3 0.50 0.00 10 55
 
 
187
Correlates of Health-Related Social Media Use Among Adults
Rosemary Thackeray, Benjamin T. Crookston, Joshua H. West
J Med Internet Res 2013;15(1):e21
(Jan 30, 2013)
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3 0.50 0.00 54 100
 
 
188
Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews
Leonie FM Kohl, Rik Crutzen, Nanne K de Vries
J Med Internet Res 2013;15(7):e146
(Jul 16, 2013)
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3 0.50 0.00 16 85
 
 
189
A Text Message-Based Intervention for Weight Loss: Randomized Controlled Trial
Kevin Patrick, Fred Raab, Marc Adams, Lindsay Dillon, Marion Zabinski, Cheryl Rock, William Griswold, Gregory Norman
J Med Internet Res 2009;11(1):e1
(Jan 13, 2009)
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3 0.50 0.00 1 70
 
 
190
Evaluation of the Accuracy of Smartphone Medical Calculation Apps
Rachel Bierbrier, Vivian Lo, Robert C Wu
J Med Internet Res 2014;16(2):e32
(Feb 3, 2014)
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3 0.50 0.00 23 95
 
 
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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.