Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
51
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
 
 
52
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
 
 
53
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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19 17.85 36.00 18 75
 
 
54
Munchausen by Internet: Current Research and Future Directions
Andy Pulman, Jacqui Taylor
J Med Internet Res 2012;14(4):e115
(Aug 22, 2012)
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19 3.17 43.00 47 95
 
 
55
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
 
 
56
Internet-Based Photoaging Within Australian Pharmacies to Promote Smoking Cessation: Randomized Controlled Trial
Oksana Burford, Moyez Jiwa, Owen Carter, Richard Parsons, Delia Hendrie
J Med Internet Res 2013;15(3):e64
(Mar 26, 2013)
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18 10.33 43.00 10 45
 
 
57
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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18 6.20 21.00 17 70
 
 
58
Applying Social Network Analysis to Understand the Knowledge Sharing Behaviour of Practitioners in a Clinical Online Discussion Forum
Samuel Alan Stewart, Syed Sibte Raza Abidi
J Med Internet Res 2012;14(6):e170
(Dec 4, 2012)
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18 3.36 22.00 15 65
 
 
59
Health-Related Effects Reported by Electronic Cigarette Users in Online Forums
My Hua, Mina Alfi, Prue Talbot
J Med Internet Res 2013;15(4):e59
(Apr 8, 2013)
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17 12.85 18.00 15 65
 
 
60
What Do Electronic Health Record Vendors Reveal About Their Products: An Analysis of Vendor Websites
Natalie K Yeung, Alejandro R Jadad, Aviv Shachak
J Med Internet Res 2013;15(2):e36
(Feb 19, 2013)
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17 5.92 44.00 14 55
 
 
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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.