Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
11
Use of Sentiment Analysis for Capturing Patient Experience From Free-Text Comments Posted Online
Felix Greaves, Daniel Ramirez-Cano, Christopher Millett, Ara Darzi, Liam Donaldson
J Med Internet Res 2013;15(11):e239
(Nov 1, 2013)
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68 6.55 79.00 64 100
 
 
12
Online Access to Doctors' Notes: Patient Concerns About Privacy
Elisabeth Vodicka, Roanne Mejilla, Suzanne G Leveille, James D Ralston, Jonathan D Darer, Tom Delbanco, Jan Walker, Joann G Elmore
J Med Internet Res 2013;15(9):e208
(Sep 26, 2013)
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39 3.38 78.00 32 100
 
 
13
Online Survey on Twitter: A Urological Experience
Fabrizio Dal Moro
J Med Internet Res 2013;15(10):e238
(Oct 25, 2013)
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24 2.26 72.00 24 90
 
 
14
Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review
Tara Donker, Katherine Petrie, Judy Proudfoot, Janine Clarke, Mary-Rose Birch, Helen Christensen
J Med Internet Res 2013;15(11):e247
(Nov 15, 2013)
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75 7.55 70.00 34 95
 
 
15
Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities
Nebeyou A Abebe, Korey L Capozza, Terrisca R Des Jardins, David A Kulick, Alison L Rein, Abigail A Schachter, Scott A Turske
J Med Internet Res 2013;15(10):e221
(Oct 15, 2013)
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32 2.93 68.00 28 90
 
 
16
Transparency of Health-Apps for Trust and Decision Making
Urs-Vito Albrecht
J Med Internet Res 2013;15(12):e277
(Dec 30, 2013)
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48 5.66 64.00 38 95
 
 
17
Outsourcing Medical Data Analyses: Can Technology Overcome Legal, Privacy, and Confidentiality Issues?
Bostjan Brumen, Marjan Heričko, Andrej Sevčnikar, Jernej Završnik, Marko Hölbl
J Med Internet Res 2013;15(12):e283
(Dec 16, 2013)
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20 2.24 64.00 18 100
 
 
18
Swarm-Based Medicine
Paul Martin Putora, Jan Oldenburg
J Med Internet Res 2013;15(9):e207
(Sep 19, 2013)
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31 2.63 58.00 27 100
 
 
19
Security Concerns to Be Considered When Downloading Human Immunodeficiency Virus/Sexually Transmitted Disease Related Smartphone Applications
Savita Lorreta Brito-Mutunayagam, Imali Fernando
J Med Internet Res 2013;15(10):e222
(Oct 7, 2013)
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19 1.70 55.00 15 70
 
 
20
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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225 18.75 51.00 529 100
 
 
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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.