Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
51
Are Health Behavior Change Interventions That Use Online Social Networks Effective? A Systematic Review
Carol A Maher, Lucy K Lewis, Katia Ferrar, Simon Marshall, Ilse De Bourdeaudhuij, Corneel Vandelanotte
J Med Internet Res 2014;16(2):e40
(Feb 14, 2014)
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2 2.00 0.00 29 85
 
 
52
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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1 1.00 0.00 12 65
 
 
53
Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework
Kacie CA Blackman, Jamie Zoellner, Leanna M Berrey, Ramine Alexander, Jason Fanning, Jennie L Hill, Paul A Estabrooks
J Med Internet Res 2013;15(10):e224
(Oct 4, 2013)
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1 1.00 0.00 12 65
 
 
54
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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1 1.00 0.00 27 90
 
 
55
Reducing Suicidal Ideation: Cost-Effectiveness Analysis of a Randomized Controlled Trial of Unguided Web-Based Self-help
Bregje A.J. van Spijker, M. Cristina Majo, Filip Smit, Annemieke van Straten, Ad J.F.M. Kerkhof
J Med Internet Res 2012;14(5):e141
(Oct 26, 2012)
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1 1.00 0.00 9 35
 
 
56
On Supplementing “Foot in the Door” Incentives for eHealth Program Engagement
Marc Steven Mitchell, Guy E Faulkner
J Med Internet Res 2014;16(7):e179
(Jul 25, 2014)
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1 1.00 0.00 5 55
 
 
57
Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion
Ranit Mishori, Lisa Oberoi Singh, Brendan Levy, Calvin Newport
J Med Internet Res 2014;16(4):e107
(Apr 14, 2014)
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1 1.00 0.00 41 95
 
 
58
Use of Twitter Among Local Health Departments: An Analysis of Information Sharing, Engagement, and Action
Brad L Neiger, Rosemary Thackeray, Scott H Burton, Callie R Thackeray, Jennifer H Reese
J Med Internet Res 2013;15(8):e177
(Aug 19, 2013)
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1 1.00 0.00 40 95
 
 
59
Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study
Thiago D Nascimento, Marcos F DosSantos, Theodora Danciu, Misty DeBoer, Hendrik van Holsbeeck, Sarah R Lucas, Christine Aiello, Leen Khatib, MaryCatherine A Bender, UMSoD (Under)Graduate Class Of 2014, Jon-Kar Zubieta, Alexandre F DaSilva
J Med Internet Res 2014;16(4):e96
(Apr 3, 2014)
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1 1.00 0.00 18 100
 
 
60
Comparison of Text and Video Computer-Tailored Interventions for Smoking Cessation: Randomized Controlled Trial
Nicola Stanczyk, Catherine Bolman, Mathieu van Adrichem, Math Candel, Jean Muris, Hein de Vries
J Med Internet Res 2014;16(3):e69
(Mar 3, 2014)
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1 1.00 0.00 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.