Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
51
How Adolescents Use Technology for Health Information: Implications for Health Professionals from Focus Group Studies
Harvey Skinner, Sherry Biscope, Blake Poland, Eudice Goldberg
J Med Internet Res 2003;5(4):e32
(Dec 18, 2003)
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1 1.00 0.00 0 0
 
 
52
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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1 1.00 0.00 15 90
 
 
53
Effectiveness of a Web-Based Tailored Intervention (E-health4Uth) and Consultation to Promote Adolescents’ Health: Randomized Controlled Trial
Rienke Bannink, Suzanne Broeren, Evelien Joosten-van Zwanenburg, Els van As, Petra van de Looij-Jansen, Hein Raat
J Med Internet Res 2014;16(5):e143
(May 30, 2014)
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1 1.00 0.00 5 35
 
 
54
Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information
Brian S McGowan, Molly Wasko, Bryan Steven Vartabedian, Robert S Miller, Desirae D Freiherr, Maziar Abdolrasulnia
J Med Internet Res 2012;14(5):e117
(Sep 24, 2012)
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1 1.00 0.00 142 100
 
 
55
The New Health-Related Top-Level Domains Are Coming: Will Cureforcancer.health Go to the Highest Bidder?
Gunther Eysenbach
J Med Internet Res 2014;16(3):e73
(Mar 5, 2014)
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1 1.00 0.00 29 95
 
 
56
Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness
Margaret E Morris, Qusai Kathawala, Todd K Leen, Ethan E Gorenstein, Farzin Guilak, William DeLeeuw, Michael Labhard
J Med Internet Res 2010;12(2):e10
(Apr 30, 2010)
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1 1.00 0.00 35 85
 
 
57
Initial Outcomes From a 4-Week Follow-Up Study of the Text4baby Program in the Military Women’s Population: Randomized Controlled Trial
W Douglas Evans, Jasmine Wallace Bihm, Daniel Szekely, Peter Nielsen, Elizabeth Murray, Lorien Abroms, Jeremy Snider
J Med Internet Res 2014;16(5):e131
(May 20, 2014)
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1 1.00 0.00 5 35
 
 
58
Hospital Website Rankings in the United States: Expanding Benchmarks and Standards for Effective Consumer Engagement
Timothy R Huerta, Jennifer L Hefner, Eric W Ford, Ann Scheck McAlearney, Nir Menachemi
J Med Internet Res 2014;16(2):e64
(Feb 25, 2014)
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1 1.00 0.00 8 75
 
 
59
Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
Yul Ha Min, Jong Won Lee, Yong-Wook Shin, Min-Woo Jo, Guiyun Sohn, Jae-Ho Lee, Guna Lee, Kyung Hae Jung, Joohon Sung, Beom Seok Ko, Jong-Han Yu, Hee Jeong Kim, Byung Ho Son, Sei Hyun Ahn
J Med Internet Res 2014;16(5):e135
(May 23, 2014)
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1 1.00 0.00 17 85
 
 
60
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-DiƩguez
J Med Internet Res 2014;16(5):e134
(May 26, 2014)
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1 1.00 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.