Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 105 95
 
 
182
Harnessing the Social Web for Health and Wellness: Issues for Research and Knowledge Translation
Kendall Ho, Peter Wall Workshop Participants
J Med Internet Res 2014;16(2):e34
(Feb 11, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 19 80
 
 
183
CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions
Gunther Eysenbach, CONSORT-EHEALTH Group
J Med Internet Res 2011;13(4):e126
(Dec 31, 2011)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 22 80
 
 
184
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 52 95
 
 
185
Searching for Cancer Information on the Internet: Analyzing Natural Language Search Queries
Judith L Bader, Mary Frances Theofanos
J Med Internet Res 2003;5(4):e31
(Dec 11, 2003)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 3 100
 
 
186
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 0.67 0.00 3 95
 
 
187
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 1 95
 
 
188
Mobile Phone Applications for the Care and Prevention of HIV and Other Sexually Transmitted Diseases: A Review
Kathryn E Muessig, Emily C Pike, Sara LeGrand, Lisa B Hightow-Weidman
J Med Internet Res 2013;15(1):e1
(Jan 4, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 20 80
 
 
189
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 0.67 0.00 4 25
 
 
190
Mapping mHealth Research: A Decade of Evolution
Maddalena Fiordelli, Nicola Diviani, Peter J. Schulz
J Med Internet Res 2013;15(5):e95
(May 21, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.67 0.00 82 100
 
 
<< < 16  17  18  19 20  21  > >>
 
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.