Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
181
Increased Use of Twitter at a Medical Conference: A Report and a Review of the Educational Opportunities
Douglas RA McKendrick, Grant P Cumming, Amanda J Lee
J Med Internet Res 2012;14(6):e176
(Dec 11, 2012)
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4 0.67 0.00 105 95
 
 
182
Motives for Participating in a Web-Based Nutrition Cohort According to Sociodemographic, Lifestyle, and Health Characteristics: The NutriNet-Santé Cohort Study
Caroline Méjean, Fabien Szabo de Edelenyi, Mathilde Touvier, Emmanuelle Kesse-Guyot, Chantal Julia, Valentina A Andreeva, Serge Hercberg
J Med Internet Res 2014;16(8):e189
(Aug 7, 2014)
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4 4.96 0.00 4 55
 
 
183
Young Men, Mental Health, and Technology: Implications for Service Design and Delivery in the Digital Age
Louise A Ellis, Philippa Collin, Tracey A Davenport, Patrick J Hurley, Jane M Burns, Ian B Hickie
J Med Internet Res 2012;14(6):e160
(Nov 22, 2012)
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4 0.67 0.00 52 95
 
 
184
Broad Reach and Targeted Recruitment Using Facebook for an Online Survey of Young Adult Substance Use
Danielle E. Ramo, Judith J. Prochaska
J Med Internet Res 2012;14(1):e28
(Feb 23, 2012)
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4 0.67 0.00 10 35
 
 
185
A Smart Web Aid for Preventing Diabetes in Rural China: Preliminary Findings and Lessons
Penglai Chen, Jing Chai, Jing Cheng, Kaichun Li, Shaoyu Xie, Han Liang, Xingrong Shen, Rui Feng, Debin Wang
J Med Internet Res 2014;16(4):e98
(Apr 1, 2014)
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3 0.61 0.00 3 40
 
 
186
Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews
Leonie FM Kohl, Rik Crutzen, Nanne K de Vries
J Med Internet Res 2013;15(7):e146
(Jul 16, 2013)
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3 0.50 0.00 16 85
 
 
187
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
 
 
188
Effectiveness of a Proactive Mail-Based Alcohol Internet Intervention for University Students: Dismantling the Assessment and Feedback Components in a Randomized Controlled Trial
Preben Bendtsen, Jim McCambridge, Marcus Bendtsen, Nadine Karlsson, Per Nilsen
J Med Internet Res 2012;14(5):e142
(Oct 31, 2012)
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3 0.50 0.00 17 50
 
 
189
Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months
Lichin Chen, Lee-Ming Chuang, Chia-Hsiun Chang, Chiou-Shiang Wang, I-Ching Wang, Yufang Chung, Hui-Yu Peng, Hui-Chuen Chen, Yu-Ling Hsu, Yu-Sheng Lin, Huang-Jen Chen, Tieng-Chun Chang, Yi-Der Jiang, Hung-Chang Lee, Ching-Ting Tan, Hsin-Lu Chang, Feipei Lai
J Med Internet Res 2013;15(12):e266
(Dec 9, 2013)
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3 0.50 0.00 14 95
 
 
190
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
 
 
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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.