Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
631
Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study
Amy Joanna Morgan, Anthony Francis Jorm, Andrew James Mackinnon
J Med Internet Res 2013;15(2):e31
(Feb 12, 2013)
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7 0.50 6.00 6 35
 
 
632
Virtual Reality for Enhancing the Cognitive Behavioral Treatment of Obesity With Binge Eating Disorder: Randomized Controlled Study With One-Year Follow-up
Gian Luca Cesa, Gian Mauro Manzoni, Monica Bacchetta, Gianluca Castelnuovo, Sara Conti, Andrea Gaggioli, Fabrizia Mantovani, Enrico Molinari, Georgina Cárdenas-López, Giuseppe Riva
J Med Internet Res 2013;15(6):e113
(Jun 12, 2013)
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5 0.50 6.00 4 35
 
 
633
Reasons for Consulting a Doctor on the Internet: Web Survey of Users of an Ask the Doctor Service
Göran Umefjord, Göran Petersson, Katarina Hamberg
J Med Internet Res 2003;5(4):e26
(Oct 22, 2003)
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2 0.03 6.00 0 0
 
 
634
Perceptions and Experiences of Heart Failure Patients and Clinicians on the Use of Mobile Phone-Based Telemonitoring
Emily Seto, Kevin J Leonard, Joseph A Cafazzo, Jan Barnsley, Caterina Masino, Heather J Ross
J Med Internet Res 2012;14(1):e25
(Feb 10, 2012)
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29 1.12 5.00 23 65
 
 
635
Internet Use for Health-Related Information via Personal Computers and Cell Phones in Japan: A Cross-Sectional Population-Based Survey
Yoshimitsu Takahashi, Tomoko Ohura, Tatsuro Ishizaki, Shigeru Okamoto, Kenji Miki, Mariko Naito, Rie Akamatsu, Hiroki Sugimori, Nobuo Yoshiike, Koichi Miyaki, Takuro Shimbo, Takeo Nakayama
J Med Internet Res 2011;13(4):e110
(Dec 14, 2011)
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21 0.76 5.00 13 70
 
 
636
Integrating Patient Reported Outcomes With Clinical Cancer Registry Data: A Feasibility Study of the Electronic Patient-Reported Outcomes From Cancer Survivors (ePOCS) System
Laura Ashley, Helen Jones, James Thomas, Alex Newsham, Amy Downing, Eva Morris, Julia Brown, Galina Velikova, David Forman, Penny Wright
J Med Internet Res 2013;15(10):e230
(Oct 25, 2013)
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20 3.50 5.00 12 80
 
 
637
Methodological Issues in Internet-Mediated Research: A Randomized Comparison of Internet Versus Mailed Questionnaires
Lisa Whitehead
J Med Internet Res 2011;13(4):e109
(Dec 12, 2011)
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15 0.54 5.00 15 70
 
 
638
Web Usage Data as a Means of Evaluating Public Health Messaging and Outreach
Hao Tian, Dana J Brimmer, Jin-Mann S Lin, Abbigail J Tumpey, William C Reeves
J Med Internet Res 2009;11(4):e52
(Dec 21, 2009)
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12 0.24 5.00 12 60
 
 
639
Net Improvement of Correct Answers to Therapy Questions After PubMed Searches: Pre/Post Comparison
Kathleen Ann McKibbon, Cynthia Lokker, Arun Keepanasseril, Nancy L Wilczynski, R Brian Haynes
J Med Internet Res 2013;15(11):e243
(Nov 8, 2013)
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11 2.09 5.00 10 60
 
 
640
The Internet and Clinical Trials: Background, Online Resources, Examples and Issues
James Paul, Rachael Seib, Todd Prescott
J Med Internet Res 2005;7(1):e5
(Mar 16, 2005)
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4 0.05 5.00 0 0
 
 
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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.

 * Tweets Data Collection began January 2008