Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
231
Using Google AdWords for International Multilingual Recruitment to Health Research Websites
Margaret S Gross, Nancy H Liu, Omar Contreras, Ricardo F Muñoz, Yan Leykin
J Med Internet Res 2014;16(1):e18
(Jan 20, 2014)
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2 0.33 0.00 7 60
 
 
232
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 0.33 0.00 22 80
 
 
233
The Clinical Effectiveness of Web-Based Cognitive Behavioral Therapy With Face-to-Face Therapist Support for Depressed Primary Care Patients: Randomized Controlled Trial
Ragnhild Sørensen Høifødt, Kjersti R Lillevoll, Kathleen M Griffiths, Tom Wilsgaard, Martin Eisemann, Knut Waterloo, Nils Kolstrup
J Med Internet Res 2013;15(8):e153
(Aug 5, 2013)
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2 0.33 0.00 7 60
 
 
234
Cardiovascular Health Effects of Internet-Based Encouragements to Do Daily Workplace Stair-Walks: Randomized Controlled Trial
Lars Louis Andersen, Emil Sundstrup, Marianne Boysen, Markus Due Jakobsen, Ole Steen Mortensen, Roger Persson
J Med Internet Res 2013;15(6):e127
(Jun 21, 2013)
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2 0.33 0.00 6 50
 
 
235
Mapping mHealth Research: A Decade of Evolution
Maddalena Fiordelli, Nicola Diviani, Peter J. Schulz
J Med Internet Res 2013;15(5):e95
(May 21, 2013)
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2 0.33 0.00 80 100
 
 
236
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 0.33 0.00 15 60
 
 
237
Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries
Elad Yom-Tov, Evgeniy Gabrilovich
J Med Internet Res 2013;15(6):e124
(Jun 18, 2013)
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2 0.33 0.00 17 75
 
 
238
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis
Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado
J Med Internet Res 2013;15(6):e120
(Jun 14, 2013)
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2 0.33 0.00 105 100
 
 
239
Impact of Patient Access to Internet Health Records on Glaucoma Medication: Randomized Controlled Trial
Kenji Kashiwagi, Shigeo Tsukahara
J Med Internet Res 2014;16(1):e15
(Jan 15, 2014)
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2 0.33 0.00 6 50
 
 
240
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 0.33 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.