Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
61
Effectiveness and Cost-Effectiveness of eHealth Interventions in Somatic Diseases: A Systematic Review of Systematic Reviews and Meta-Analyses
Niels J Elbert, Harmieke van Os-Medendorp, Wilco van Renselaar, Anne G Ekeland, Leona Hakkaart-van Roijen, Hein Raat, Tamar EC Nijsten, Suzanne GMA Pasmans
J Med Internet Res 2014;16(4):e110
(Apr 16, 2014)
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18 5.52 0.00 5 50
 
 
62
Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study
Marco Kalz, Niklas Lenssen, Marc Felzen, Rolf Rossaint, Bernardo Tabuenca, Marcus Specht, Max Skorning
J Med Internet Res 2014;16(3):e89
(Mar 19, 2014)
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18 4.33 0.00 14 95
 
 
63
Use of the Internet as a Health Information Resource Among French Young Adults: Results From a Nationally Representative Survey
François Beck, Jean-Baptiste Richard, Viet Nguyen-Thanh, Ilaria Montagni, Isabelle Parizot, Emilie Renahy
J Med Internet Res 2014;16(5):e128
(May 13, 2014)
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17 7.12 0.00 14 75
 
 
64
The Use of Social Media by State Tobacco Control Programs to Promote Smoking Cessation: A Cross-Sectional Study
Jennifer C Duke, Heather Hansen, Annice E Kim, Laurel Curry, Jane Allen
J Med Internet Res 2014;16(7):e169
(Jul 10, 2014)
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16 31.00 0.00 16 90
 
 
65
Smartphone-Enabled Health Coach Intervention for People With Diabetes From a Modest Socioeconomic Strata Community: Single-Arm Longitudinal Feasibility Study
Noah Wayne, Paul Ritvo
J Med Internet Res 2014;16(6):e149
(Jun 6, 2014)
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16 9.92 0.00 13 80
 
 
66
A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication
S Anne Moorhead, Diane E. Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving
J Med Internet Res 2013;15(4):e85
(Apr 23, 2013)
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16 2.67 0.00 87 95
 
 
67
Evaluation of an eHealth Intervention in Chronic Care for Frail Older People: Why Adherence is the First Target
Peter Makai, Marieke Perry, Sarah HM Robben, Henk J Schers, Maud M Heinen, Marcel GM Olde Rikkert, René F Melis
J Med Internet Res 2014;16(6):e156
(Jun 23, 2014)
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15 14.09 0.00 13 80
 
 
68
Detecting Disease Outbreaks in Mass Gatherings Using Internet Data
Elad Yom-Tov, Diana Borsa, Ingemar J Cox, Rachel A McKendry
J Med Internet Res 2014;16(6):e154
(Jun 18, 2014)
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15 12.24 0.00 15 90
 
 
69
Paging “Dr. Google”: Does Technology Fill the Gap Created by the Prenatal Care Visit Structure? Qualitative Focus Group Study With Pregnant Women
Jennifer L Kraschnewski, Cynthia H Chuang, Erika S Poole, Tamara Peyton, Ian Blubaugh, Jaimey Pauli, Alyssa Feher, Madhu Reddy
J Med Internet Res 2014;16(6):e147
(Jun 3, 2014)
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15 8.77 0.00 10 75
 
 
70
eHealth Interventions for HIV Prevention in High-Risk Men Who Have Sex With Men: A Systematic Review
Rebecca Schnall, Jasmine Travers, Marlene Rojas, Alex Carballo-Diéguez
J Med Internet Res 2014;16(5):e134
(May 26, 2014)
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15 7.62 0.00 9 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.