Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
211
How Current Are Leading Evidence-Based Medical Textbooks? An Analytic Survey of Four Online Textbooks
Rebecca Jeffery, Tamara Navarro, Cynthia Lokker, R Brian Haynes, Nancy L Wilczynski, George Farjou
J Med Internet Res 2012;14(6):e175
(Dec 10, 2012)
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3 0.50 0.00 25 80
 
 
212
Searching for Cancer Information on the Internet: Analyzing Natural Language Search Queries
Judith L Bader, Mary Frances Theofanos
J Med Internet Res 2003;5(4):e31
(Dec 11, 2003)
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3 0.50 0.00 3 100
 
 
213
Using Virtual Reality to Provide Health Care Information to People With Intellectual Disabilities: Acceptability, Usability, and Potential Utility
Valerie Hall, Suzanne Conboy-Hill, Dave Taylor
J Med Internet Res 2011;13(4):e91
(Nov 14, 2011)
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3 0.50 0.00 19 85
 
 
214
Increasing Physical Activity With Mobile Devices: A Meta-Analysis
Jason Fanning, Sean P Mullen, Edward McAuley
J Med Internet Res 2012;14(6):e161
(Nov 21, 2012)
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3 0.50 0.00 49 95
 
 
215
A Smart Web Aid for Preventing Diabetes in Rural China: Preliminary Findings and Lessons
Penglai Chen, Jing Chai, Jing Cheng, Kaichun Li, Shaoyu Xie, Han Liang, Xingrong Shen, Rui Feng, Debin Wang
J Med Internet Res 2014;16(4):e98
(Apr 1, 2014)
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3 5.81 0.00 3 40
 
 
216
Usage of a Generic Web-Based Self-Management Intervention for Breast Cancer Survivors: Substudy Analysis of the BREATH Trial
Sanne W van den Berg, Esmee J Peters, J Frank Kraaijeveld, Marieke FM Gielissen, Judith B Prins
J Med Internet Res 2013;15(8):e170
(Aug 19, 2013)
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3 0.50 0.00 13 70
 
 
217
Title Correction: Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study
Fabian Sudau, Tim Friede, Jens Grabowski, Janka Koschack, Philip Makedonski, Wolfgang Himmel
J Med Internet Res 2014;16(1):e39
(Jan 31, 2014)
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3 1.22 0.00 3 30
 
 
218
Patient Experiences With Full Electronic Access to Health Records and Clinical Notes Through the My HealtheVet Personal Health Record Pilot: Qualitative Study
Susan S Woods, Erin Schwartz, Anais Tuepker, Nancy A Press, Kim M Nazi, Carolyn L Turvey, W. Paul Nichol
J Med Internet Res 2013;15(3):e65
(Mar 27, 2013)
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2 0.33 7.00 70 100
 
 
219
Crowdsourcing Black Market Prices For Prescription Opioids
Nabarun Dasgupta, Clark Freifeld, John S Brownstein, Christopher Mark Menone, Hilary L Surratt, Luke Poppish, Jody L Green, Eric J Lavonas, Richard C Dart
J Med Internet Res 2013;15(8):e178
(Aug 16, 2013)
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2 0.33 7.00 18 85
 
 
220
Preventing the Obesity Epidemic by Second Generation Tailored Health Communication: An Interdisciplinary Review
Heidi Päivyt Karoliina Enwald, Maija-Leena Aulikki Huotari
J Med Internet Res 2010;12(2):e24
(Jun 28, 2010)
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2 0.33 6.00 7 20
 
 
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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.