Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
41
Evaluation of an eHealth Intervention in Chronic Care for Frail Older People: Why Adherence is the First Target
Peter Makai, Marieke Perry, Sarah HM Robben, Henk J Schers, Maud M Heinen, Marcel GM Olde Rikkert, René F Melis
J Med Internet Res 2014;16(6):e156
(Jun 23, 2014)
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3 3.00 0.00 13 80
 
 
42
Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study
Mitch Duncan, Corneel Vandelanotte, Gregory S Kolt, Richard R Rosenkranz, Cristina M Caperchione, Emma S George, Hang Ding, Cindy Hooker, Mohan Karunanithi, Anthony J Maeder, Manny Noakes, Rhys Tague, Pennie Taylor, Pierre Viljoen, W Kerry Mummery
J Med Internet Res 2014;16(6):e136
(Jun 12, 2014)
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3 3.00 0.00 11 80
 
 
43
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)
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3 3.00 0.00 106 100
 
 
44
Home Care Technology Through an Ability Expectation Lens
Gregor Wolbring, Bonnie Lashewicz
J Med Internet Res 2014;16(6):e155
(Jun 20, 2014)
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3 3.00 0.00 9 60
 
 
45
Tablet-Based Strength-Balance Training to Motivate and Improve Adherence to Exercise in Independently Living Older People: Part 2 of a Phase II Preclinical Exploratory Trial
Eva van het Reve, Patrícia Silveira, Florian Daniel, Fabio Casati, Eling D de Bruin
J Med Internet Res 2014;16(6):e159
(Jun 25, 2014)
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3 3.00 0.00 5 45
 
 
46
Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis
Atul Nakhasi, Album Xiaotian Shen, Ralph Joseph Passarella, Lawrence J Appel, Cheryl AM Anderson
J Med Internet Res 2014;16(6):e153
(Jun 16, 2014)
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3 3.00 0.00 18 95
 
 
47
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)
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2 2.00 0.00 2 95
 
 
48
Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months
Lichin Chen, Lee-Ming Chuang, Chia-Hsiun Chang, Chiou-Shiang Wang, I-Ching Wang, Yufang Chung, Hui-Yu Peng, Hui-Chuen Chen, Yu-Ling Hsu, Yu-Sheng Lin, Huang-Jen Chen, Tieng-Chun Chang, Yi-Der Jiang, Hung-Chang Lee, Ching-Ting Tan, Hsin-Lu Chang, Feipei Lai
J Med Internet Res 2013;15(12):e266
(Dec 9, 2013)
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2 2.00 0.00 14 95
 
 
49
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 2.00 0.00 27 90
 
 
50
Community Management That Works: How to Build and Sustain a Thriving Online Health Community
Colleen Young
J Med Internet Res 2013;15(6):e119
(Jun 11, 2013)
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2 2.00 0.00 101 100
 
 
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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.