Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
11
A Spanish Pillbox App for Elderly Patients Taking Multiple Medications: Randomized Controlled Trial
José Joaquín Mira, Isabel Navarro, Federico Botella, Fernando Borrás, Roberto Nuño-Solinís, Domingo Orozco, Fuencisla Iglesias-Alonso, Pastora Pérez-Pérez, Susana Lorenzo, Nuria Toro
J Med Internet Res 2014;16(4):e99
(Apr 4, 2014)
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92 26.17 0.00 51 100
 
 
12
New Media Use by Patients Who Are Homeless: The Potential of mHealth to Build Connectivity
Lori Ann Post, Federico E Vaca, Kelly M. Doran, Cali Luco, Matthew Naftilan, James Dziura, Cynthia Brandt, Steven Bernstein, Liudvikas Jagminas, Gail D'Onofrio
J Med Internet Res 2013;15(9):e195
(Sep 3, 2013)
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92 8.86 210.00 58 100
 
 
13
Enabling Community Through Social Media
Anatoliy Gruzd, Caroline Haythornthwaite
J Med Internet Res 2013;15(10):e248
(Oct 31, 2013)
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80 9.39 189.00 40 95
 
 
14
Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review
Tara Donker, Katherine Petrie, Judy Proudfoot, Janine Clarke, Mary-Rose Birch, Helen Christensen
J Med Internet Res 2013;15(11):e247
(Nov 15, 2013)
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69 8.59 70.00 34 95
 
 
15
The Emergent Discipline of Health Web Science
Joanne S Luciano, Grant P Cumming, Mark D Wilkinson, Eva Kahana
J Med Internet Res 2013;15(8):e166
(Aug 22, 2013)
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69 6.40 110.00 55 95
 
 
16
Use of Sentiment Analysis for Capturing Patient Experience From Free-Text Comments Posted Online
Felix Greaves, Daniel Ramirez-Cano, Christopher Millett, Ara Darzi, Liam Donaldson
J Med Internet Res 2013;15(11):e239
(Nov 1, 2013)
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68 8.02 79.00 64 100
 
 
17
The Impact of Social Media on Medical Professionalism: A Systematic Qualitative Review of Challenges and Opportunities
Fatemeh Gholami-Kordkheili, Verina Wild, Daniel Strech
J Med Internet Res 2013;15(8):e184
(Aug 28, 2013)
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67 6.33 146.00 52 95
 
 
18
Evidence of Effectiveness of Health Care Professionals Using Handheld Computers: A Scoping Review of Systematic Reviews
Sharon Mickan, Julie K Tilson, Helen Atherton, Nia Wyn Roberts, Carl Heneghan
J Med Internet Res 2013;15(10):e212
(Oct 28, 2013)
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65 7.55 109.00 60 100
 
 
19
Internet and Social Media For Health-Related Information and Communication in Health Care: Preferences of the Dutch General Population
Tom H Van de Belt, Lucien JLPG Engelen, Sivera AA Berben, Steven Teerenstra, Melvin Samsom, Lisette Schoonhoven
J Med Internet Res 2013;15(10):e220
(Oct 2, 2013)
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65 6.88 129.00 22 90
 
 
20
Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion
Ranit Mishori, Lisa Oberoi Singh, Brendan Levy, Calvin Newport
J Med Internet Res 2014;16(4):e107
(Apr 14, 2014)
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62 19.41 0.00 41 95
 
 
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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.