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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8 8.00 0.00 529 100
 
 
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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4 4.00 0.00 142 100
 
 
3
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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1 1.00 0.00 118 100
 
 
4
Community Management That Works: How to Build and Sustain a Thriving Online Health Community
Colleen Young
J Med Internet Res 2013;15(6):e119
(Jun 11, 2013)
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4 4.00 0.00 101 100
 
 
5
Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study
Laura Dennison, Leanne Morrison, Gemma Conway, Lucy Yardley
J Med Internet Res 2013;15(4):e86
(Apr 18, 2013)
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8 8.00 0.00 97 95
 
 
6
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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2 2.00 0.00 89 100
 
 
7
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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5 5.00 0.00 87 90
 
 
8
Mapping mHealth Research: A Decade of Evolution
Maddalena Fiordelli, Nicola Diviani, Peter J. Schulz
J Med Internet Res 2013;15(5):e95
(May 21, 2013)
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4 4.00 0.00 82 100
 
 
9
Wikis and Collaborative Writing Applications in Health Care: A Scoping Review
Patrick M Archambault, Tom H van de Belt, Francisco J Grajales III, Marjan J Faber, Craig E Kuziemsky, Susie Gagnon, Andrea Bilodeau, Simon Rioux, Willianne LDM Nelen, Marie-Pierre Gagnon, Alexis F Turgeon, Karine Aubin, Irving Gold, Julien Poitras, Gunther Eysenbach, Jan AM Kremer, France Légaré
J Med Internet Res 2013;15(10):e210
(Oct 8, 2013)
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3 3.00 0.00 75 100
 
 
10
Patient Experiences With Full Electronic Access to Health Records and Clinical Notes Through the My HealtheVet Personal Health Record Pilot: Qualitative Study
Susan S Woods, Erin Schwartz, Anais Tuepker, Nancy A Press, Kim M Nazi, Carolyn L Turvey, W. Paul Nichol
J Med Internet Res 2013;15(3):e65
(Mar 27, 2013)
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6 6.00 0.00 70 100
 
 
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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.