Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
301
Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study
Daniel Kutz, Kalpana Shankar, Kay Connelly
J Med Internet Res 2013;15(5):e83
(May 14, 2013)
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5 0.42 8.00 6 25
 
 
302
A Pre-Post Study on the Appropriateness and Effectiveness of a Web- and Text Messaging-Based Intervention to Reduce Problem Drinking in Emerging Adults
Severin Haug, Michael P Schaub, Vigeli Venzin, Christian Meyer, Ulrich John, Gerhard Gmel
J Med Internet Res 2013;15(9):e196
(Sep 2, 2013)
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5 0.47 8.00 4 25
 
 
303
The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students
Errol Ozdalga, Ark Ozdalga, Neera Ahuja
J Med Internet Res 2012;14(5):e128
(Sep 27, 2012)
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5 0.42 7.00 132 95
 
 
304
Principles and Framework for eHealth Strategy Development
Richard E Scott, Maurice Mars
J Med Internet Res 2013;15(7):e155
(Jul 30, 2013)
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5 0.42 5.00 9 60
 
 
305
Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries
Elad Yom-Tov, Evgeniy Gabrilovich
J Med Internet Res 2013;15(6):e124
(Jun 18, 2013)
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5 0.42 1.00 17 75
 
 
306
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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5 22.14 0.00 5 55
 
 
307
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 1.21 0.00 5 60
 
 
308
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 0.82 0.00 5 40
 
 
309
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 0.79 0.00 4 40
 
 
310
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 0.76 0.00 5 45
 
 
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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.