Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
261
Recruitment to Online Therapies for Depression: Pilot Cluster Randomized Controlled Trial
Ray B Jones, Lesley Goldsmith, Paul Hewson, Christopher J Williams
J Med Internet Res 2013;15(3):e45
(Mar 5, 2013)
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1 0.17 0.00 7 45
 
 
262
Utilization and Perceived Problems of Online Medical Resources and Search Tools Among Different Groups of European Physicians
Marlene Kritz, Manfred Gschwandtner, Veronika Stefanov, Allan Hanbury, Matthias Samwald
J Med Internet Res 2013;15(6):e122
(Jun 26, 2013)
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1 0.17 0.00 16 70
 
 
263
A Web-Based Interactive Diabetes Registry for Health Care Management and Planning in Saudi Arabia
Khalid A Al-Rubeaan, Amira M Youssef, Shazia N Subhani, Najlaa A Ahmad, Ahmad H Al-Sharqawi, Heba M Ibrahim
J Med Internet Res 2013;15(9):e202
(Sep 11, 2013)
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1 0.17 0.00 6 45
 
 
264
Social Influence as a Driver of Engagement in a Web-Based Health Intervention
Josée Poirier, Nathan K Cobb
J Med Internet Res 2012;14(1):e36
(Feb 22, 2012)
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1 0.17 0.00 29 85
 
 
265
Sharing Health Data for Better Outcomes on PatientsLikeMe
Paul Wicks, Michael Massagli, Jeana Frost, Catherine Brownstein, Sally Okun, Timothy Vaughan, Richard Bradley, James Heywood
J Med Internet Res 2010;12(2):e19
(Jun 14, 2010)
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1 0.17 0.00 46 95
 
 
266
Motivators and Motivations to Persist With Online Psychological Interventions: A Qualitative Study of Treatment Completers
Liesje Donkin, Nick Glozier
J Med Internet Res 2012;14(3):e91
(Jun 22, 2012)
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1 0.17 0.00 6 15
 
 
267
Facilitating Out-of-Home Caregiving Through Health Information Technology: Survey of Informal Caregivers’ Current Practices, Interests, and Perceived Barriers
Donna M Zulman, John D Piette, Emily C Jenchura, Steven M Asch, Ann-Marie Rosland
J Med Internet Res 2013;15(7):e123
(Jul 10, 2013)
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1 0.17 0.00 13 65
 
 
268
The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students
Errol Ozdalga, Ark Ozdalga, Neera Ahuja
J Med Internet Res 2012;14(5):e128
(Sep 27, 2012)
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1 0.17 0.00 131 95
 
 
269
Online Availability and Safety of Drugs in Shortage: A Descriptive Study of Internet Vendor Characteristics
Bryan A Liang, Tim K Mackey
J Med Internet Res 2012;14(1):e27
(Feb 9, 2012)
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1 0.17 1.00 5 0
 
 
270
e-Health Code of Ethics (May 24)
Helga Rippen, Ahmad Risk
J Med Internet Res 2000;2(2):e9
(May 24, 2000)
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1 0.17 2.00 0 0
 
 
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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.