Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
221
Correction: Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2012;14(1):e7
(Jan 4, 2012)
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1 0.17 0.00 12 25
 
 
222
How Adolescents Use Technology for Health Information: Implications for Health Professionals from Focus Group Studies
Harvey Skinner, Sherry Biscope, Blake Poland, Eudice Goldberg
J Med Internet Res 2003;5(4):e32
(Dec 18, 2003)
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1 0.17 0.00 0 0
 
 
223
Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness
Gunther Eysenbach
J Med Internet Res 2008;10(3):e22
(Aug 25, 2008)
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1 0.17 0.00 8 100
 
 
224
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Morwenna Kirwan, Corneel Vandelanotte, Andrew Fenning, Mitch J Duncan
J Med Internet Res 2013;15(11):e235
(Nov 13, 2013)
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1 0.17 0.00 23 90
 
 
225
Developing Health Promotion Interventions on Social Networking Sites: Recommendations from The FaceSpace Project
Judy Gold, Alisa E Pedrana, Mark A Stoove, Shanton Chang, Steve Howard, Jason Asselin, Olivia Ilic, Colin Batrouney, Margaret E Hellard
J Med Internet Res 2012;14(1):e30
(Feb 28, 2012)
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1 0.17 0.00 47 100
 
 
226
Use of Behavioral Change Techniques in Web-Based Self-Management Programs for Type 2 Diabetes Patients: Systematic Review
Michael van Vugt, Maartje de Wit, Wilmy HJJ Cleijne, Frank J Snoek
J Med Internet Res 2013;15(12):e279
(Dec 13, 2013)
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1 0.17 0.00 8 65
 
 
227
The Conceptual and Practical Ethical Dilemmas of Using Health Discussion Board Posts as Research Data
Carol S Bond, Osman Hassan Ahmed, Martin Hind, Bronwen Thomas, Jaqui Hewitt-Taylor
J Med Internet Res 2013;15(6):e112
(Jun 7, 2013)
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1 0.17 0.00 29 90
 
 
228
Preventing Smoking Relapse via Web-Based Computer-Tailored Feedback: A Randomized Controlled Trial
Iman Elfeddali, Catherine Bolman, Math J.J.M. Candel, Reinout W. Wiers, Hein de Vries
J Med Internet Res 2012;14(4):e109
(Aug 20, 2012)
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1 0.17 0.00 8 40
 
 
229
Why Business Modeling is Crucial in the Development of eHealth Technologies
Maarten van Limburg, Julia EWC van Gemert-Pijnen, Nicol Nijland, Hans C Ossebaard, Ron MG Hendrix, Erwin R Seydel
J Med Internet Res 2011;13(4):e124
(Dec 28, 2011)
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1 0.17 0.00 27 85
 
 
230
Hospital Website Rankings in the United States: Expanding Benchmarks and Standards for Effective Consumer Engagement
Timothy R Huerta, Jennifer L Hefner, Eric W Ford, Ann Scheck McAlearney, Nir Menachemi
J Med Internet Res 2014;16(2):e64
(Feb 25, 2014)
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1 0.17 0.00 8 75
 
 
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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.