Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
331
Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review
Michael Stellefson, Beth Chaney, Adam E. Barry, Enmanuel Chavarria, Bethany Tennant, Kim Walsh-Childers, P.S. Sriram, Justin Zagora
J Med Internet Res 2013;15(2):e35
(Feb 14, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
6 0.50 16.00 59 100
 
 
332
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.]
6 0.50 2.00 20 80
 
 
333
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
6 0.50 3.00 16 85
 
 
334
In the Words of the Medical Tourist: An Analysis of Internet Narratives by Health Travelers to Turkey
Margaret E Ozan-Rafferty, James A Johnson, Gulzar H Shah, Attila Kursun
J Med Internet Res 2014;16(2):e43
(Feb 6, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
3 0.48 0.00 3 20
 
 
335
Title Correction: Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study
Fabian Sudau, Tim Friede, Jens Grabowski, Janka Koschack, Philip Makedonski, Wolfgang Himmel
J Med Internet Res 2014;16(1):e39
(Jan 31, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
3 0.46 0.00 3 30
 
 
336
Using Multiple Imputations to Accommodate Time-Outs in Online Interventions
Susan M Shortreed, Andy Bogart, Jennifer B McClure
J Med Internet Res 2013;15(11):e252
(Nov 21, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.46 10.00 3 25
 
 
337
A Pre-Post Study on the Appropriateness and Effectiveness of a Web- and Text Messaging-Based Intervention to Reduce Problem Drinking in Emerging Adults
Severin Haug, Michael P Schaub, Vigeli Venzin, Christian Meyer, Ulrich John, Gerhard Gmel
J Med Internet Res 2013;15(9):e196
(Sep 2, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
5 0.44 8.00 4 25
 
 
338
Partnership for Health-2, A Web-Based Versus Print Smoking Cessation Intervention for Childhood and Young Adult Cancer Survivors: Randomized Comparative Effectiveness Study
Karen M Emmons, Elaine Puleo, Kim Sprunck-Harrild, Jennifer Ford, Jamie S Ostroff, David Hodgson, Mark Greenberg, Lisa Diller, Janet de Moor, Vida Tyc
J Med Internet Res 2013;15(11):e218
(Nov 5, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.43 17.00 3 15
 
 
339
Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment
Rebecca Schnall, Anastasia Okoniewski, Victoria Tiase, Alexander Low, Martha Rodriguez, Steven Kaplan
J Med Internet Res 2013;15(3):e54
(Mar 6, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
5 0.42 0.00 18 75
 
 
340
Patients’ Ratings of Family Physician Practices on the Internet: Usage and Associations With Conventional Measures of Quality in the English National Health Service
Felix Greaves, Utz J Pape, Henry Lee, Dianna M Smith, Ara Darzi, Azeem Majeed, Christopher Millett
J Med Internet Res 2012;14(5):e146
(Oct 17, 2012)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
5 0.42 0.00 42 95
 
 
<< < 31  32  33  34 35  36  > >>
 
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.