Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
1
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 2011;13(4):e123
(Dec 16, 2011)
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1471 53.02 2431.00 529 100
 
 
2
Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information
Brian S McGowan, Molly Wasko, Bryan Steven Vartabedian, Robert S Miller, Desirae D Freiherr, Maziar Abdolrasulnia
J Med Internet Res 2012;14(5):e117
(Sep 24, 2012)
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424 22.78 972.00 142 100
 
 
3
Retrieving Clinical Evidence: A Comparison of PubMed and Google Scholar for Quick Clinical Searches
Salimah Z Shariff, Shayna AD Bejaimal, Jessica M Sontrop, Arthur V Iansavichus, R Brian Haynes, Matthew A Weir, Amit X Garg
J Med Internet Res 2013;15(8):e164
(Aug 15, 2013)
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371 45.64 434.00 323 100
 
 
4
A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
S Anne Moorhead, Diane E. Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving
J Med Internet Res 2013;15(4):e85
(Apr 23, 2013)
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359 30.41 575.00 87 95
 
 
5
A 12-Week Commercial Web-Based Weight-Loss Program for Overweight and Obese Adults: Randomized Controlled Trial Comparing Basic Versus Enhanced Features
Clare E Collins, Philip J Morgan, Penelope Jones, Kate Fletcher, Julia Martin, Elroy J Aguiar, Ashlee Lucas, Melinda J Neve, Robin Callister
J Med Internet Res 2012;14(2):e57
(Apr 25, 2012)
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264 11.23 789.00 255 100
 
 
6
Disordered Eating in a Digital Age: Eating Behaviors, Health, and Quality of Life in Users of Websites With Pro-Eating Disorder Content
Rebecka Peebles, Jenny L Wilson, Iris F Litt, Kristina K Hardy, James D Lock, Julia R Mann, Dina LG Borzekowski
J Med Internet Res 2012;14(5):e148
(Oct 25, 2012)
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259 14.71 89.00 38 90
 
 
7
Definition of Health 2.0 and Medicine 2.0: A Systematic Review
Tom H Van De Belt, Lucien JLPG Engelen, Sivera AA Berben, Lisette Schoonhoven
J Med Internet Res 2010;12(2):e18
(Jun 11, 2010)
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248 5.44 539.00 89 100
 
 
8
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
Miguel Angel Luengo-Oroz, Asier Arranz, John Frean
J Med Internet Res 2012;14(6):e167
(Nov 29, 2012)
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226 13.71 513.00 175 100
 
 
9
Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial
Michelle Clare Carter, Victoria Jane Burley, Camilla Nykjaer, Janet Elizabeth Cade
J Med Internet Res 2013;15(4):e32
(Apr 15, 2013)
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225 18.65 535.00 203 100
 
 
10
Primary Care Providers’ Perspectives on Online Weight-Loss Programs: A Big Wish List
Kevin O Hwang, Heather L Stuckey, Monica C Chen, Jennifer L Kraschnewski, Samuel N Forjuoh, Jennifer M Poger, Kathleen M McTigue, Christopher N Sciamanna
J Med Internet Res 2012;14(1):e16
(Jan 19, 2012)
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212 7.96 103.00 174 100
 
 
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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.

 * Tweets Data Collection began January 2008