Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
51
Effectiveness of eHealth Interventions and Information Needs in Palliative Care: A Systematic Literature Review
Daniel Capurro, Matthias Ganzinger, Jose Perez-Lu, Petra Knaup
J Med Internet Res 2014;16(3):e72
(Mar 7, 2014)
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38 7.96 0.00 38 95
 
 
52
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 7.75 0.00 10 75
 
 
53
Using Online Social Media for Recruitment of Human Immunodeficiency Virus-Positive Participants: A Cross-Sectional Survey
Patrick Yuan, Michael G Bare, Mallory O Johnson, Parya Saberi
J Med Internet Res 2014;16(5):e117
(May 1, 2014)
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23 7.67 0.00 17 80
 
 
54
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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18 7.54 0.00 5 35
 
 
55
Exploring the Value of Technology to Stimulate Interprofessional Discussion and Education: A Needs Assessment of Emergency Medicine Professionals
Jennifer Riley, Melissa McGowan, Linda Rozmovits
J Med Internet Res 2014;16(6):e162
(Jun 30, 2014)
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8 7.52 0.00 5 60
 
 
56
User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom
Braden O'Neill, Sue Ziebland, Jose Valderas, Francisco Lupiáñez-Villanueva
J Med Internet Res 2014;16(4):e118
(Apr 30, 2014)
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22 7.26 0.00 21 80
 
 
57
I Don't Believe It, But I'd Better Do Something About It: Patient Experiences of Online Heart Age Risk Calculators
Carissa Bonner, Jesse Jansen, Ben R Newell, Les Irwig, Paul Glasziou, Jenny Doust, Haryana Dhillon, Kirsten McCaffery
J Med Internet Res 2014;16(5):e120
(May 5, 2014)
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20 6.97 0.00 17 80
 
 
58
Evaluation of the Accuracy of Smartphone Medical Calculation Apps
Rachel Bierbrier, Vivian Lo, Robert C Wu
J Med Internet Res 2014;16(2):e32
(Feb 3, 2014)
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40 6.89 0.00 23 95
 
 
59
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 6.84 0.00 9 60
 
 
60
Would You Tell Everyone This? Facebook Conversations as Health Promotion Interventions
Jonathan Syred, Carla Naidoo, Sarah C Woodhall, Paula Baraitser
J Med Internet Res 2014;16(4):e108
(Apr 11, 2014)
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24 6.58 0.00 6 50
 
 
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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.