Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
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 11.65 109.00 60 100
 
 
22
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 10.13 129.00 22 90
 
 
23
Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students
Carl L Hanson, Scott H Burton, Christophe Giraud-Carrier, Josh H West, Michael D Barnes, Bret Hansen
J Med Internet Res 2013;15(4):e62
(Apr 17, 2013)
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62 5.17 151.00 16 70
 
 
24
Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter
Melanie Hingle, Donella Yoon, Joseph Fowler, Stephen Kobourov, Michael Lee Schneider, Daniel Falk, Randy Burd
J Med Internet Res 2013;15(6):e125
(Jun 24, 2013)
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58 6.01 80.00 14 75
 
 
25
Expectations of iPad Use in an Internal Medicine Residency Program: Is It Worth the “Hype”?
Nancy Luo, Christopher G. Chapman, Bhakti K. Patel, James N. Woodruff, Vineet M. Arora
J Med Internet Res 2013;15(5):e88
(May 8, 2013)
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58 5.20 68.00 44 90
 
 
26
Systematic Reviews and Meta-Analyses of Home Telemonitoring Interventions for Patients With Chronic Diseases: A Critical Assessment of Their Methodological Quality
Spyros Kitsiou, Guy Paré, Mirou Jaana
J Med Internet Res 2013;15(7):e150
(Jul 23, 2013)
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56 6.43 24.00 53 100
 
 
27
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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55 113.66 0.00 51 100
 
 
28
Use of Twitter Among Local Health Departments: An Analysis of Information Sharing, Engagement, and Action
Brad L Neiger, Rosemary Thackeray, Scott H Burton, Callie R Thackeray, Jennifer H Reese
J Med Internet Res 2013;15(8):e177
(Aug 19, 2013)
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55 7.02 93.00 40 95
 
 
29
Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information
Brian S McGowan, Molly Wasko, Bryan Steven Vartabedian, Robert S Miller, Desirae D Freiherr, Maziar Abdolrasulnia
J Med Internet Res 2012;14(5):e117
(Sep 24, 2012)
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54 4.50 57.00 142 100
 
 
30
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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53 4.88 93.00 33 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.