Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
181
Do Email and Mobile Phone Prompts Stimulate Primary School Children to Reuse an Internet-Delivered Smoking Prevention Intervention?
Henricus-Paul Cremers, Liesbeth Mercken, Rik Crutzen, Paul Willems, Hein de Vries, Anke Oenema
J Med Internet Res 2014;16(3):e86
(Mar 18, 2014)
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4 0.74 0.00 4 55
 
 
182
Caught in the Web: A Review of Web-Based Suicide Prevention
Mee Huong Lai, Thambu Maniam, Lai Fong Chan, Arun V Ravindran
J Med Internet Res 2014;16(1):e30
(Jan 28, 2014)
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4 0.67 0.00 4 25
 
 
183
Multimodal Guided Self-Help Exercise Program to Prevent Speech, Swallowing, and Shoulder Problems Among Head and Neck Cancer Patients: A Feasibility Study
Ingrid C Cnossen, Cornelia F van Uden-Kraan, Rico NPM Rinkel, IJke J Aalders, Cees JT de Goede, Remco de Bree, Patricia Doornaert, Derek HF Rietveld, Johannes A Langendijk, Birgit I Witte, C Rene Leemans, Irma M Verdonck-de Leeuw
J Med Internet Res 2014;16(3):e74
(Mar 6, 2014)
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4 0.69 0.00 4 60
 
 
184
Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis
Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, Erik Augustson
J Med Internet Res 2011;13(1):e7
(Jan 17, 2011)
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4 0.67 0.00 30 100
 
 
185
Patients’ Engagement With “Sweet Talk” – A Text Messaging Support System for Young People With Diabetes
Victoria Franklin, Alexandra Greene, Annalu Waller, Stephen Greene, Claudia Pagliari
J Med Internet Res 2008;10(2):e20
(Jun 30, 2008)
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4 0.67 0.00 1 95
 
 
186
Designing Messaging to Engage Patients in an Online Suicide Prevention Intervention: Survey Results From Patients With Current Suicidal Ideation
Ursula Whiteside, Anita Lungu, Julie Richards, Gregory E Simon, Sarah Clingan, Jaeden Siler, Lorilei Snyder, Evette Ludman
J Med Internet Res 2014;16(2):e42
(Feb 7, 2014)
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3 0.50 0.00 4 45
 
 
187
A Conceptual Framework and Principles for Trusted Pervasive Health
Pekka Sakari Ruotsalainen, Bernd Gerhard Blobel, Antto Veikko Seppälä, Hannu Olavi Sorvari, Pirkko Anneli Nykänen
J Med Internet Res 2012;14(2):e52
(Apr 6, 2012)
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3 0.50 0.00 16 65
 
 
188
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
 
 
189
Surviving and Thriving With Cancer Using a Web-Based Health Behavior Change Intervention: Randomized Controlled Trial
Erin O'Carroll Bantum, Cheryl L Albright, Kami K White, Jeffrey L Berenberg, Gabriela Layi, Phillip L Ritter, Diana Laurent, Katy Plant, Kate Lorig
J Med Internet Res 2014;16(2):e54
(Feb 24, 2014)
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3 0.50 0.00 5 55
 
 
190
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
 
 
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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.