Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
21
A Data Encryption Solution for Mobile Health Apps in Cooperation Environments
Bruno M Silva, Joel JPC Rodrigues, Fábio Canelo, Ivo C Lopes, Liang Zhou
J Med Internet Res 2013;15(4):e66
(Apr 25, 2013)
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19 24.54 47.00 19 80
 
 
22
Information and Communication Technology to Support Self-Management of Patients with Mild Acquired Cognitive Impairments: Systematic Review
Aboozar Eghdam, Jeremiah Scholl, Aniko Bartfai, Sabine Koch
J Med Internet Res 2012;14(6):e159
(Nov 19, 2012)
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4 4.00 6.00 19 85
 
 
23
CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions
Gunther Eysenbach, CONSORT-EHEALTH Group
J Med Internet Res 2011;13(4):e126
(Dec 31, 2011)
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2 2.00 0.00 19 65
 
 
24
Storing and Using Health Data in a Virtual Private Cloud
Nathan Regola, Nitesh V. Chawla
J Med Internet Res 2013;15(3):e63
(Mar 13, 2013)
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1 1.00 0.00 19 75
 
 
25
Perceptions of Family Physician Trainees and Trainers Regarding the Usefulness of a Virtual Community of Practice
Stephen Barnett, Sandra C Jones, Sue Bennett, Don Iverson, Andrew Bonney
J Med Internet Res 2013;15(5):e92
(May 10, 2013)
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18 62.00 35.00 18 80
 
 
26
A Comparison of Two Delivery Modalities of a Mobile Phone-Based Assessment for Serious Mental Illness: Native Smartphone Application vs Text-Messaging Only Implementations
John Ainsworth, Jasper E Palmier-Claus, Matthew Machin, Christine Barrowclough, Graham Dunn, Anne Rogers, Iain Buchan, Emma Barkus, Shitij Kapur, Til Wykes, Richard S Hopkins, Shôn Lewis
J Med Internet Res 2013;15(4):e60
(Apr 5, 2013)
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4 4.00 14.00 18 75
 
 
27
Use of a Text Message-Based Pharmacovigilance Tool in Cambodia: Pilot Study
Sophie Baron, Flavie Goutard, Kunthy Nguon, Arnaud Tarantola
J Med Internet Res 2013;15(4):e68
(Apr 16, 2013)
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1 1.00 0.00 18 75
 
 
28
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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46 46.00 107.00 17 70
 
 
29
Cost-Effectiveness of a New Internet-Based Monitoring Tool for Neonatal Post-Discharge Home Care
Valentina Isetta, Carme Lopez-Agustina, Esther Lopez-Bernal, Maribel Amat, Montserrat Vila, Carme Valls, Daniel Navajas, Ramon Farre
J Med Internet Res 2013;15(2):e38
(Feb 18, 2013)
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1 1.00 0.00 17 70
 
 
30
The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use
Namkee G. Choi, Diana M DiNitto
J Med Internet Res 2013;15(5):e93
(May 2, 2013)
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19 34.65 49.00 15 65
 
 
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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.