Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
41
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 12.07 0.00 36 100
 
 
42
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 8.02 0.00 22 90
 
 
43
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 5.64 0.00 13 75
 
 
44
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 5.47 0.00 30 95
 
 
45
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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36 3.00 45.00 323 100
 
 
46
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
 
 
47
Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research
Thomas Lorchan Lewis, Matthew Alexander Boissaud-Cooke, Timothy Dy Aungst, Gunther Eysenbach
J Med Internet Res 2014;16(7):e174
(Jul 17, 2014)
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35 24.66 0.00 24 90
 
 
48
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 4.93 0.00 32 95
 
 
49
Can Anonymous Posters on Medical Forums be Reidentified?
Victoria Bobicev, Marina Sokolova, Khaled El Emam, Yasser Jafer, Brian Dewar, Elizabeth Jonker, Stan Matwin
J Med Internet Res 2013;15(10):e215
(Oct 3, 2013)
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35 3.28 88.00 10 50
 
 
50
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Mark Myslín, Shu-Hong Zhu, Wendy Chapman, Mike Conway
J Med Internet Res 2013;15(8):e174
(Aug 29, 2013)
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35 2.92 74.00 31 85
 
 
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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.