Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
11
Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
Elizabeth J Lyons, Zakkoyya H Lewis, Brian G Mayrsohn, Jennifer L Rowland
J Med Internet Res 2014;16(8):e192
(Aug 15, 2014)
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51 32.94 0.00 17 85
 
 
12
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 31.56 0.00 25 95
 
 
13
Short-Term Effectiveness of Web-Based Guided Self-Help for Phobic Outpatients: Randomized Controlled Trial
Robin N Kok, Annemieke van Straten, Aartjan T F Beekman, Pim Cuijpers
J Med Internet Res 2014;16(9):e226
(Sep 29, 2014)
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3 30.99 0.00 3 50
 
 
14
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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21 28.31 0.00 13 70
 
 
15
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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36 26.57 0.00 19 90
 
 
16
Mind the Gap: Social Media Engagement by Public Health Researchers
Brett Keller, Alain Labrique, Kriti M Jain, Andrew Pekosz, Orin Levine
J Med Internet Res 2014;16(1):e8
(Jan 14, 2014)
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215 25.54 0.00 84 100
 
 
17
Social Network Sites as a Mode to Collect Health Data: A Systematic Review
Fahdah Alshaikh, Farzan Ramzan, Salman Rawaf, Azeem Majeed
J Med Internet Res 2014;16(7):e171
(Jul 14, 2014)
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65 25.19 0.00 53 100
 
 
18
Social Media: A Review and Tutorial of Applications in Medicine and Health Care
Francisco Jose Grajales III, Samuel Sheps, Kendall Ho, Helen Novak-Lauscher, Gunther Eysenbach
J Med Internet Res 2014;16(2):e13
(Feb 11, 2014)
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179 23.82 0.00 104 95
 
 
19
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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23 23.00 0.00 19 85
 
 
20
An Internet-Based Epidemiological Investigation of the Outbreak of H7N9 Avian Influenza A in China Since Early 2013
Chen Mao, Xin-Yin Wu, Xiao-Hong Fu, Meng-Yang Di, Yuan-Yuan Yu, Jin-Qiu Yuan, Zu-Yao Yang, Jin-Ling Tang
J Med Internet Res 2014;16(9):e221
(Sep 25, 2014)
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5 22.14 0.00 5 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.