Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
391
Enhancing Retention of an Internet-Based Cohort Study of Men Who Have Sex With Men (MSM) via Text Messaging: Randomized Controlled Trial
Christine M Khosropour, Brent A Johnson, Alexandra V Ricca, Patrick S Sullivan
J Med Internet Res 2013;15(8):e194
(Aug 27, 2013)
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2 0.18 1.00 2 30
 
 
392
The MOnitoring Resynchronization dEvices and CARdiac patiEnts (MORE-CARE) Randomized Controlled Trial: Phase 1 Results on Dynamics of Early Intervention With Remote Monitoring
Giuseppe Boriani, Antoine Da Costa, Renato Pietro Ricci, Aurelio Quesada, Stefano Favale, Saverio Iacopino, Francesco Romeo, Arnaldo Risi, Lorenza Mangoni di S Stefano, Xavier Navarro, Mauro Biffi, Massimo Santini, Haran Burri, On Behalf Of The MORE-CARE Investigators
J Med Internet Res 2013;15(8):e167
(Aug 21, 2013)
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2 0.18 1.00 2 30
 
 
393
Claiming Positive Results From Negative Trials: A Cause for Concern in Randomized Controlled Trial Research
John A Cunningham
J Med Internet Res 2013;15(8):e179
(Aug 19, 2013)
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2 0.18 2.00 2 35
 
 
394
Physician Response Time When Communicating With Patients Over the Internet
Per Egil Kummervold, Jan-Are K Johnsen
J Med Internet Res 2011;13(4):e79
(Nov 1, 2011)
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2 0.17 0.00 27 90
 
 
395
Smartphone Versus Pen-and-Paper Data Collection of Infant Feeding Practices in Rural China
Shuyi Zhang, Qiong Wu, Michelle HMMT van Velthoven, Li Chen, Josip Car, Igor Rudan, Yanfeng Zhang, Ye Li, Robert W Scherpbier
J Med Internet Res 2012;14(5):e119
(Sep 18, 2012)
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2 0.17 0.00 15 60
 
 
396
The Personal Health Record Paradox: Health Care Professionals’ Perspectives and the Information Ecology of Personal Health Record Systems in Organizational and Clinical Settings
Kim M. Nazi
J Med Internet Res 2013;15(4):e70
(Apr 4, 2013)
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2 0.17 0.00 22 80
 
 
397
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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2 0.17 0.00 33 95
 
 
398
The Internet as a Vehicle to Communicate Health Information During a Public Health Emergency: A Survey Analysis Involving the Anthrax Scare of 2001
Anne F Kittler, John Hobbs, Lynn A Volk, Gary L Kreps, David W Bates
J Med Internet Res 2004;6(1):e8
(Mar 3, 2004)
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2 0.17 0.00 2 95
 
 
399
Reducing Suicidal Ideation: Cost-Effectiveness Analysis of a Randomized Controlled Trial of Unguided Web-Based Self-help
Bregje A.J. van Spijker, M. Cristina Majo, Filip Smit, Annemieke van Straten, Ad J.F.M. Kerkhof
J Med Internet Res 2012;14(5):e141
(Oct 26, 2012)
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2 0.17 0.00 9 35
 
 
400
Development and Testing of a Multidimensional iPhone Pain Assessment Application for Adolescents with Cancer
Jennifer N Stinson, Lindsay A Jibb, Cynthia Nguyen, Paul C Nathan, Anne Marie Maloney, L Lee Dupuis, J Ted Gerstle, Benjamin Alman, Sevan Hopyan, Caron Strahlendorf, Carol Portwine, Donna L Johnston, Mike Orr
J Med Internet Res 2013;15(3):e51
(Mar 8, 2013)
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2 0.17 0.00 25 80
 
 
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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.