Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
71
Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet
Gunther Eysenbach
J Med Internet Res 2009;11(1):e11
(Mar 27, 2009)
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15 2.50 0.00 17 100
 
 
72
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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14 4.38 0.00 11 80
 
 
73
Facebook Apps for Smoking Cessation: A Review of Content and Adherence to Evidence-Based Guidelines
Megan A Jacobs, Caroline O Cobb, Lorien Abroms, Amanda L Graham
J Med Internet Res 2014;16(9):e205
(Sep 9, 2014)
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13 40.30 0.00 13 70
 
 
74
Development of a National Agreement on Human Papillomavirus Vaccination in Japan: An Infodemiology Study
Haruka Nakada, Koichiro Yuji, Masaharu Tsubokura, Yukio Ohsawa, Masahiro Kami
J Med Internet Res 2014;16(5):e129
(May 15, 2014)
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13 3.17 0.00 12 65
 
 
75
The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output
Ahmed Allam, Peter Johannes Schulz, Kent Nakamoto
J Med Internet Res 2014;16(4):e100
(Apr 2, 2014)
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13 2.37 0.00 9 75
 
 
76
A Systematic Self-Certification Model for Mobile Medical Apps
Thomas Lorchan Lewis
J Med Internet Res 2013;15(4):e89
(Apr 24, 2013)
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13 2.17 0.00 19 80
 
 
77
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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12 4.09 0.00 9 60
 
 
78
Acceptability of Online Self-Help to People With Depression: Users’ Views of MoodGYM Versus Informational Websites
Justine Schneider, Pooria Sarrami Foroushani, Paul Grime, Graham Thornicroft
J Med Internet Res 2014;16(3):e90
(Mar 28, 2014)
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12 2.13 0.00 12 90
 
 
79
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)
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12 2.00 0.00 24 80
 
 
80
The Behavioral Intervention Technology Model and Intervention Mapping: The Best of Both Worlds
Rik Crutzen
J Med Internet Res 2014;16(8):e188
(Aug 5, 2014)
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11 7.58 0.00 11 85
 
 
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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.