Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
Mobile Phone Text Messaging Intervention for Cervical Cancer Screening: Changes in Knowledge and Behavior Pre-Post Intervention
Hee Yun Lee, Joseph S Koopmeiners, Taeho Greg Rhee, Victoria H Raveis, Jasjit S Ahluwalia
J Med Internet Res 2014;16(8):e196
(Aug 27, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
5 51.65 0.00 5 60
 
 
32
How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation
Margaret Mochon Demment, Meredith Leigh Graham, Christine Marie Olson
J Med Internet Res 2014;16(8):e194
(Aug 20, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
5 15.50 0.00 5 70
 
 
33
Interactive Sections of an Internet-Based Intervention Increase Empowerment of Chronic Back Pain Patients: Randomized Controlled Trial
Silvia Riva, Anne-Linda Camerini, Ahmed Allam, Peter J Schulz
J Med Internet Res 2014;16(8):e180
(Aug 13, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
5 9.12 0.00 5 55
 
 
34
Assessing the Applicability of E-Therapies for Depression, Anxiety, and Other Mood Disorders Among Lesbians and Gay Men: Analysis of 24 Web- and Mobile Phone-Based Self-Help Interventions
Tomas Rozbroj, Anthony Lyons, Marian Pitts, Anne Mitchell, Helen Christensen
J Med Internet Res 2014;16(7):e166
(Jul 3, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
5 5.00 0.00 18 95
 
 
35
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 5.39 0.00 4 55
 
 
36
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis
Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado
J Med Internet Res 2013;15(6):e120
(Jun 14, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 4.00 0.00 106 100
 
 
37
Mind the Gap: Social Media Engagement by Public Health Researchers
Brett Keller, Alain Labrique, Kriti M Jain, Andrew Pekosz, Orin Levine
J Med Internet Res 2014;16(1):e8
(Jan 14, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 4.00 0.00 84 100
 
 
38
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 4.00 0.00 4 25
 
 
39
Virtual Communities of Practice: Overcoming Barriers of Time and Technology
Kieran Walsh, Stephen Barnett
J Med Internet Res 2014;16(7):e185
(Jul 29, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 4.00 0.00 8 65
 
 
40
The Internet as a Vehicle to Communicate Health Information During a Public Health Emergency: A Survey Analysis Involving the Anthrax Scare of 2001
Anne F Kittler, John Hobbs, Lynn A Volk, Gary L Kreps, David W Bates
J Med Internet Res 2004;6(1):e8
(Mar 3, 2004)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 4.00 0.00 3 95
 
 
<< < 1  2  3  4 5  6  > >>
 
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.