Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
1
mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use
Thomas Lorchan Lewis, Jeremy C Wyatt
J Med Internet Res 2014;16(9):e210
(Sep 15, 2014)
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52 1609.91 0.00 52 100
 
 
2
Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers
Cynthia LeRouge, Craig Van Slyke, Deborah Seale, Kevin Wright
J Med Internet Res 2014;16(9):e200
(Sep 8, 2014)
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33 127.86 0.00 33 100
 
 
3
A Medical Consultation Service on Facebook: Descriptive Analysis of Questions Answered
Otto Helve
J Med Internet Res 2014;16(9):e202
(Sep 4, 2014)
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29 74.92 0.00 25 100
 
 
4
A Web-Based Program Improves Physical Activity Outcomes in a Primary Care Angina Population: Randomized Controlled Trial
Reena Devi, John Powell, Sally Singh
J Med Internet Res 2014;16(9):e186
(Sep 12, 2014)
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9 69.77 0.00 9 50
 
 
5
Massive Open Online Courses on Health and Medicine: Review
Tharindu Rekha Liyanagunawardena, Shirley Ann Williams
J Med Internet Res 2014;16(8):e191
(Aug 14, 2014)
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72 67.64 0.00 58 100
 
 
6
Facebook Apps for Smoking Cessation: A Review of Content and Adherence to Evidence-Based Guidelines
Megan A Jacobs, Caroline O Cobb, Lorien Abroms, Amanda L Graham
J Med Internet Res 2014;16(9):e205
(Sep 9, 2014)
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13 57.57 0.00 13 70
 
 
7
Representation of Health Conditions on Facebook: Content Analysis and Evaluation of User Engagement
Timothy M Hale, Akhilesh S Pathipati, Shiyi Zan, Kamal Jethwani
J Med Internet Res 2014;16(8):e182
(Aug 4, 2014)
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70 50.47 0.00 29 95
 
 
8
Numeracy and Literacy Independently Predict Patients’ Ability to Identify Out-of-Range Test Results
Brian J Zikmund-Fisher, Nicole L Exe, Holly O Witteman
J Med Internet Res 2014;16(8):e187
(Aug 8, 2014)
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56 44.51 0.00 25 95
 
 
9
How Feedback Biases Give Ineffective Medical Treatments a Good Reputation
Mícheál de Barra, Kimmo Eriksson, Pontus Strimling
J Med Internet Res 2014;16(8):e193
(Aug 21, 2014)
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35 41.73 0.00 19 90
 
 
10
Estimation of Geographic Variation in Human Papillomavirus Vaccine Uptake in Men and Women: An Online Survey Using Facebook Recruitment
Erik J Nelson, John Hughes, J Michael Oakes, James S Pankow, Shalini L Kulasingam
J Med Internet Res 2014;16(9):e198
(Sep 1, 2014)
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20 41.33 0.00 19 85
 
 
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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.