Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
201
In the Words of the Medical Tourist: An Analysis of Internet Narratives by Health Travelers to Turkey
Margaret E Ozan-Rafferty, James A Johnson, Gulzar H Shah, Attila Kursun
J Med Internet Res 2014;16(2):e43
(Feb 6, 2014)
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3 0.55 0.00 3 20
 
 
202
Title Correction: Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study
Fabian Sudau, Tim Friede, Jens Grabowski, Janka Koschack, Philip Makedonski, Wolfgang Himmel
J Med Internet Res 2014;16(1):e39
(Jan 31, 2014)
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3 0.53 0.00 3 30
 
 
203
Increasing Physical Activity With Mobile Devices: A Meta-Analysis
Jason Fanning, Sean P Mullen, Edward McAuley
J Med Internet Res 2012;14(6):e161
(Nov 21, 2012)
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3 0.50 0.00 49 95
 
 
204
Collecting Maternal Health Information From HIV-Positive Pregnant Women Using Mobile Phone-Assisted Face-to-Face Interviews in Southern Africa
Alastair van Heerden, Shane Norris, Stephen Tollman, Linda Richter, Mary Jane Rotheram-Borus
J Med Internet Res 2013;15(6):e116
(Jun 10, 2013)
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3 0.50 0.00 9 60
 
 
205
Correlates of Health-Related Social Media Use Among Adults
Rosemary Thackeray, Benjamin T. Crookston, Joshua H. West
J Med Internet Res 2013;15(1):e21
(Jan 30, 2013)
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3 0.50 0.00 54 100
 
 
206
How Current Are Leading Evidence-Based Medical Textbooks? An Analytic Survey of Four Online Textbooks
Rebecca Jeffery, Tamara Navarro, Cynthia Lokker, R Brian Haynes, Nancy L Wilczynski, George Farjou
J Med Internet Res 2012;14(6):e175
(Dec 10, 2012)
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3 0.50 0.00 25 80
 
 
207
Feasibility of a Wiki as a Participatory Tool for Patients in Clinical Guideline Development
Elvira ME den Breejen, Willianne LDM Nelen, Jose M.L. Knijnenburg, Jako S Burgers, Rosella PMG Hermens, Jan AM Kremer
J Med Internet Res 2012;14(5):e138
(Oct 26, 2012)
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3 0.50 0.00 50 95
 
 
208
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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3 0.50 0.00 22 85
 
 
209
Virtual Patients in Primary Care: Developing a Reusable Model That Fosters Reflective Practice and Clinical Reasoning
Helena Salminen, Nabil Zary, Karin Björklund, Eva Toth-Pal, Charlotte Leanderson
J Med Internet Res 2014;16(1):e3
(Jan 6, 2014)
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3 0.50 0.00 8 50
 
 
210
Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems
Joel JPC Rodrigues, Isabel de la Torre, Gonzalo Fernández, Miguel López-Coronado
J Med Internet Res 2013;15(8):e186
(Aug 21, 2013)
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3 0.50 0.00 13 60
 
 
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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.