Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
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 18.50 0.00 36 100
 
 
22
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 10.43 0.00 22 90
 
 
23
Assessing the Applicability of E-Therapies for Depression, Anxiety, and Other Mood Disorders Among Lesbians and Gay Men: Analysis of 24 Web- and Mobile Phone-Based Self-Help Interventions
Tomas Rozbroj, Anthony Lyons, Marian Pitts, Anne Mitchell, Helen Christensen
J Med Internet Res 2014;16(7):e166
(Jul 3, 2014)
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36 44.64 0.00 18 95
 
 
24
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 6.76 0.00 13 75
 
 
25
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 6.53 0.00 30 95
 
 
26
A Multidimensional View of Personal Health Systems for Underserved Populations
Thomas A Horan, Nathan E Botts, Richard J Burkhard
J Med Internet Res 2010;12(3):e32
(Aug 4, 2010)
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33 5.50 0.00 30 85
 
 
27
Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study
Elina Helander, Kirsikka Kaipainen, Ilkka Korhonen, Brian Wansink
J Med Internet Res 2014;16(4):e109
(Apr 15, 2014)
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32 9.54 0.00 23 85
 
 
28
Do Online Mental Health Services Improve Help-Seeking for Young People? A Systematic Review
Sylvia Deidre Kauer, Cheryl Mangan, Lena Sanci
J Med Internet Res 2014;16(3):e66
(Mar 4, 2014)
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32 6.79 0.00 23 95
 
 
29
Google Glass for Documentation of Medical Findings: Evaluation in Forensic Medicine
Urs-Vito Albrecht, Ute von Jan, Joachim Kuebler, Christoph Zoeller, Martin Lacher, Oliver J Muensterer, Max Ettinger, Michael Klintschar, Lars Hagemeier
J Med Internet Res 2014;16(2):e53
(Feb 12, 2014)
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32 5.98 0.00 23 80
 
 
30
Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle
Patricia Cavazos-Rehg, Melissa Krauss, Richard Grucza, Laura Bierut
J Med Internet Res 2014;16(6):e157
(Jun 27, 2014)
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30 30.00 0.00 28 100
 
 
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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.