Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
41
There’s an App for That: Content Analysis of Paid Health and Fitness Apps
Joshua H. West, P. Cougar Hall, Carl L. Hanson, Michael D. Barnes, Christophe Giraud-Carrier, James Barrett
J Med Internet Res 2012;14(3):e72
(May 14, 2012)
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3 3.00 0.00 43 85
 
 
42
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 2.00 0.00 25 80
 
 
43
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 2.00 0.00 17 75
 
 
44
Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems
Joel JPC Rodrigues, Isabel de la Torre, Gonzalo Fernández, Miguel López-Coronado
J Med Internet Res 2013;15(8):e186
(Aug 21, 2013)
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2 2.00 0.00 13 60
 
 
45
A Systematic Self-Certification Model for Mobile Medical Apps
Thomas Lorchan Lewis
J Med Internet Res 2013;15(4):e89
(Apr 24, 2013)
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2 2.00 0.00 19 80
 
 
46
A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
S Anne Moorhead, Diane E. Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving
J Med Internet Res 2013;15(4):e85
(Apr 23, 2013)
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2 2.00 0.00 87 95
 
 
47
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 2.00 0.00 22 80
 
 
48
eHealth Interventions for HIV Prevention in High-Risk Men Who Have Sex With Men: A Systematic Review
Rebecca Schnall, Jasmine Travers, Marlene Rojas, Alex Carballo-Diéguez
J Med Internet Res 2014;16(5):e134
(May 26, 2014)
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1 1.00 0.00 9 60
 
 
49
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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1 1.00 0.00 6 50
 
 
50
Hospital Website Rankings in the United States: Expanding Benchmarks and Standards for Effective Consumer Engagement
Timothy R Huerta, Jennifer L Hefner, Eric W Ford, Ann Scheck McAlearney, Nir Menachemi
J Med Internet Res 2014;16(2):e64
(Feb 25, 2014)
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1 1.00 0.00 8 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.