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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165 27.50 0.00 529 100
 
 
2
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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1 0.17 0.00 323 100
 
 
3
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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18 3.00 0.00 189 100
 
 
4
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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23 3.83 0.00 142 100
 
 
5
The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students
Errol Ozdalga, Ark Ozdalga, Neera Ahuja
J Med Internet Res 2012;14(5):e128
(Sep 27, 2012)
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1 0.17 0.00 132 95
 
 
6
The 1% Rule in Four Digital Health Social Networks: An Observational Study
Trevor van Mierlo
J Med Internet Res 2014;16(2):e33
(Feb 4, 2014)
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4 0.67 0.00 118 100
 
 
7
The Use of Social Networking Sites for Public Health Practice and Research: A Systematic Review
Daniel Capurro, Kate Cole, Maria I. Echavarría, Jonathan Joe, Tina Neogi, Anne M Turner
J Med Internet Res 2014;16(3):e79
(Mar 14, 2014)
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129 23.80 0.00 110 100
 
 
8
Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions
Martijn van der Eijk, Marjan J Faber, Johanna WM Aarts, Jan AM Kremer, Marten Munneke, Bastiaan R Bloem
J Med Internet Res 2013;15(6):e115
(Jun 25, 2013)
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7 1.17 0.00 107 100
 
 
9
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis
Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado
J Med Internet Res 2013;15(6):e120
(Jun 14, 2013)
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7 1.17 0.00 106 100
 
 
10
Increased Use of Twitter at a Medical Conference: A Report and a Review of the Educational Opportunities
Douglas RA McKendrick, Grant P Cumming, Amanda J Lee
J Med Internet Res 2012;14(6):e176
(Dec 11, 2012)
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4 0.67 0.00 105 95
 
 
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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.