Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
391
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)
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2 0.17 1.00 59 100
 
 
392
Evaluating Aspects of Online Medication Safety in Long-Term Follow-Up of 136 Internet Pharmacies: Illegal Rogue Online Pharmacies Flourish and Are Long-Lived
Andras Fittler, Gergely Bősze, Lajos Botz
J Med Internet Res 2013;15(9):e199
(Sep 10, 2013)
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2 0.17 1.00 5 40
 
 
393
Preventing the Obesity Epidemic by Second Generation Tailored Health Communication: An Interdisciplinary Review
Heidi Päivyt Karoliina Enwald, Maija-Leena Aulikki Huotari
J Med Internet Res 2010;12(2):e24
(Jun 28, 2010)
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2 0.17 6.00 7 20
 
 
394
Social and Self-Reflective Use of a Web-Based Personally Controlled Health Management System
Annie YS Lau, Adam G Dunn, Nathan Mortimer, Aideen Gallagher, Judith Proudfoot, Annie Andrews, Siaw-Teng Liaw, Jacinta Crimmins, Amaël Arguel, Enrico Coiera
J Med Internet Res 2013;15(9):e211
(Sep 23, 2013)
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2 0.17 8.00 18 85
 
 
395
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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2 0.17 0.00 33 95
 
 
396
Benefits of Peer Support in Online Japanese Breast Cancer Communities: Differences Between Lurkers and Posters
Yoko Setoyama, Yoshihiko Yamazaki, Kazuhiro Namayama
J Med Internet Res 2011;13(4):e122
(Dec 29, 2011)
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2 0.17 1.00 32 90
 
 
397
Mobile Health (mHealth) Approaches and Lessons for Increased Performance and Retention of Community Health Workers in Low- and Middle-Income Countries: A Review
Karin Källander, James K Tibenderana, Onome J Akpogheneta, Daniel L Strachan, Zelee Hill, Augustinus H A ten Asbroek, Lesong Conteh, Betty R Kirkwood, Sylvia R Meek
J Med Internet Res 2013;15(1):e17
(Jan 25, 2013)
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2 0.17 2.00 21 90
 
 
398
Physician Response Time When Communicating With Patients Over the Internet
Per Egil Kummervold, Jan-Are K Johnsen
J Med Internet Res 2011;13(4):e79
(Nov 1, 2011)
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2 0.17 0.00 27 90
 
 
399
Versatile, Immersive, Creative and Dynamic Virtual 3-D Healthcare Learning Environments: A Review of the Literature
Margaret Hansen
J Med Internet Res 2008;10(3):e26
(Sep 1, 2008)
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2 0.17 1.00 2 75
 
 
400
Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study
Joseph A Cafazzo, Mark Casselman, Nathaniel Hamming, Debra K Katzman, Mark R Palmert
J Med Internet Res 2012;14(3):e70
(May 8, 2012)
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2 0.17 0.00 47 90
 
 
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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.