Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
211
Understanding the Usage of Content in a Mental Health Intervention for Depression: An Analysis of Log Data
Julia EWC Van Gemert-Pijnen, Saskia M. Kelders, Ernst T. Bohlmeijer
J Med Internet Res 2014;16(1):e27
(Jan 31, 2014)
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2 0.33 0.00 5 55
 
 
212
The New Health-Related Top-Level Domains Are Coming: Will Cureforcancer.health Go to the Highest Bidder?
Gunther Eysenbach
J Med Internet Res 2014;16(3):e73
(Mar 5, 2014)
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2 0.33 0.00 29 95
 
 
213
The Personal Health Record Paradox: Health Care Professionals’ Perspectives and the Information Ecology of Personal Health Record Systems in Organizational and Clinical Settings
Kim M. Nazi
J Med Internet Res 2013;15(4):e70
(Apr 4, 2013)
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2 0.33 0.00 22 80
 
 
214
Use of Sentiment Analysis for Capturing Patient Experience From Free-Text Comments Posted Online
Felix Greaves, Daniel Ramirez-Cano, Christopher Millett, Ara Darzi, Liam Donaldson
J Med Internet Res 2013;15(11):e239
(Nov 1, 2013)
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2 0.33 0.00 64 100
 
 
215
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 0.33 0.00 27 90
 
 
216
The Effects on Health Behavior and Health Outcomes of Internet-Based Asynchronous Communication Between Health Providers and Patients With a Chronic Condition: A Systematic Review
Catharina Carolina de Jong, Wynand JG Ros, Guus Schrijvers
J Med Internet Res 2014;16(1):e19
(Jan 16, 2014)
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2 0.33 0.00 16 95
 
 
217
Design of a Website on Nutrition and Physical Activity for Adolescents: Results From Formative Research
Debbe Thompson, Karen Weber Cullen, Carol Boushey, Karen Konzelmann
J Med Internet Res 2012;14(2):e59
(Apr 26, 2012)
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2 0.33 0.00 22 80
 
 
218
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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2 0.33 0.00 17 75
 
 
219
Do Email and Mobile Phone Prompts Stimulate Primary School Children to Reuse an Internet-Delivered Smoking Prevention Intervention?
Henricus-Paul Cremers, Liesbeth Mercken, Rik Crutzen, Paul Willems, Hein de Vries, Anke Oenema
J Med Internet Res 2014;16(3):e86
(Mar 18, 2014)
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2 0.33 0.00 4 55
 
 
220
Preventing Smoking Relapse via Web-Based Computer-Tailored Feedback: A Randomized Controlled Trial
Iman Elfeddali, Catherine Bolman, Math J.J.M. Candel, Reinout W. Wiers, Hein de Vries
J Med Internet Res 2012;14(4):e109
(Aug 20, 2012)
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1 0.17 0.00 8 40
 
 
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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.