Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
41
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 3.66 78.00 32 100
 
 
42
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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39 3.25 0.00 56 100
 
 
43
Effectiveness of eHealth Interventions and Information Needs in Palliative Care: A Systematic Literature Review
Daniel Capurro, Matthias Ganzinger, Jose Perez-Lu, Petra Knaup
J Med Internet Res 2014;16(3):e72
(Mar 7, 2014)
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38 7.01 0.00 38 95
 
 
44
Do Cancer Patients Tweet? Examining the Twitter Use of Cancer Patients in Japan
Atsushi Tsuya, Yuya Sugawara, Atsushi Tanaka, Hiroto Narimatsu
J Med Internet Res 2014;16(5):e137
(May 27, 2014)
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37 13.18 0.00 36 100
 
 
45
Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older
Madlen Arnhold, Mandy Quade, Wilhelm Kirch
J Med Internet Res 2014;16(4):e104
(Apr 9, 2014)
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37 8.50 0.00 22 90
 
 
46
Patient and Public Views on Electronic Health Records and Their Uses in the United Kingdom: Cross-Sectional Survey
Serena A Luchenski, Julie E Reed, Cicely Marston, Chrysanthi Papoutsi, Azeem Majeed, Derek Bell
J Med Internet Res 2013;15(8):e160
(Aug 23, 2013)
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37 3.15 43.00 28 85
 
 
47
Did You Hear the One About the Doctor? An Examination of Doctor Jokes Posted on Facebook
Matthew A Davis, Carol Sue Haney, William B Weeks, Brenda E Sirovich, Denise L Anthony
J Med Internet Res 2014;16(2):e41
(Feb 13, 2014)
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36 5.87 0.00 13 75
 
 
48
The Use and Significance of a Research Networking System
Maninder Kahlon, Leslie Yuan, John Daigre, Eric Meeks, Katie Nelson, Cynthia Piontkowski, Katja Reuter, Rachael Sak, Brian Turner, Griffin M Weber, Anirvan Chatterjee
J Med Internet Res 2014;16(2):e46
(Feb 7, 2014)
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36 5.69 0.00 30 95
 
 
49
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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36 3.00 24.00 189 100
 
 
50
Guess Who’s Not Coming to Dinner? Evaluating Online Restaurant Reservations for Disease Surveillance
Elaine O Nsoesie, David L Buckeridge, John S Brownstein
J Med Internet Res 2014;16(1):e22
(Jan 22, 2014)
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35 5.12 0.00 32 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.