Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
281
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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6 0.50 9.00 17 100
 
 
282
There’s an App for That: Content Analysis of Paid Health and Fitness Apps
Joshua H. West, P. Cougar Hall, Carl L. Hanson, Michael D. Barnes, Christophe Giraud-Carrier, James Barrett
J Med Internet Res 2012;14(3):e72
(May 14, 2012)
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6 0.50 2.00 41 85
 
 
283
Internet-Based Cognitive Behavioral Therapy for Patients With Chronic Somatic Conditions: A Meta-Analytic Review
Sylvia van Beugen, Maaike Ferwerda, Dane Hoeve, Maroeska M Rovers, Saskia Spillekom-van Koulil, Henriët van Middendorp, Andrea WM Evers
J Med Internet Res 2014;16(3):e88
(Mar 27, 2014)
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5 7.38 0.00 5 55
 
 
284
Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information and Social Tags on Information Search and Evaluation
Stefan Schweiger, Aileen Oeberst, Ulrike Cress
J Med Internet Res 2014;16(3):e94
(Mar 26, 2014)
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5 7.05 0.00 5 60
 
 
285
An Innovative Smartphone-Based Otorhinoendoscope and Its Application in Mobile Health and Teleotolaryngology
Cheng-Jung Wu, Sheng-Yu Wu, Po-Chun Chen, Yaoh-Shiang Lin
J Med Internet Res 2014;16(3):e71
(Mar 3, 2014)
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5 3.44 0.00 0 0
 
 
286
Quit Now? Quit Soon? Quit When You’re Ready? Insights About Target Quit Dates for Smoking Cessation From an Online Quit Date Tool
Caroline O Cobb, Raymond S Niaura, Elisabeth A Donaldson, Amanda L Graham
J Med Internet Res 2014;16(2):e55
(Feb 17, 2014)
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5 2.63 0.00 5 55
 
 
287
A Framework for Different Levels of Integration of Computational Models Into Web-Based Virtual Patients
Andrzej A Kononowicz, Andrew J Narracott, Simone Manini, Martin J Bayley, Patricia V Lawford, Keith McCormack, Nabil Zary
J Med Internet Res 2014;16(1):e23
(Jan 23, 2014)
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5 1.85 0.00 5 40
 
 
288
Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks
Hua Gu, Bin Chen, Honghong Zhu, Tao Jiang, Xinyi Wang, Lei Chen, Zhenggang Jiang, Dawei Zheng, Jianmin Jiang
J Med Internet Res 2014;16(1):e20
(Jan 17, 2014)
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5 1.72 0.00 4 40
 
 
289
Keywords to Recruit Spanish- and English-Speaking Participants: Evidence From an Online Postpartum Depression Randomized Controlled Trial
Alinne Z Barrera, Alex R Kelman, Ricardo F Muñoz
J Med Internet Res 2014;16(1):e6
(Jan 9, 2014)
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5 1.58 0.00 5 45
 
 
290
Factors Associated With Intention to Use Internet-Based Testing for Sexually Transmitted Infections Among Men Who Have Sex With Men
Mark Gilbert, Travis Salway Hottes, Thomas Kerr, Darlene Taylor, Christopher K Fairley, Richard Lester, Tom Wong, Terry Trussler, Rick Marchand, Jean Shoveller, Gina Ogilvie
J Med Internet Res 2013;15(11):e254
(Nov 14, 2013)
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5 1.01 15.00 3 25
 
 
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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.