Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
271
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 2.40 0.00 9 75
 
 
272
Activities on Facebook Reveal the Depressive State of Users
Sungkyu Park, Sang Won Lee, Jinah Kwak, Meeyoung Cha, Bumseok Jeong
J Med Internet Res 2013;15(10):e217
(Oct 1, 2013)
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13 1.15 30.00 9 55
 
 
273
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 4.18 0.00 9 60
 
 
274
The Sexunzipped Trial: Young People’s Views of Participating in an Online Randomized Controlled Trial
Angela Nicholas, Julia V Bailey, Fiona Stevenson, Elizabeth Murray
J Med Internet Res 2013;15(12):e276
(Dec 12, 2013)
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11 1.22 16.00 9 70
 
 
275
Mobile Phone Text Messaging Intervention for Cervical Cancer Screening: Changes in Knowledge and Behavior Pre-Post Intervention
Hee Yun Lee, Joseph S Koopmeiners, Taeho Greg Rhee, Victoria H Raveis, Jasjit S Ahluwalia
J Med Internet Res 2014;16(8):e196
(Aug 27, 2014)
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10 14.76 0.00 9 75
 
 
276
Evaluating a Web-Based Health Risk Assessment With Tailored Feedback: What Does an Expert Focus Group Yield Compared to a Web-Based End-User Survey?
Sandra Vosbergen, Guy R Mahieu, Eva K Laan, Roderik A Kraaijenhagen, Monique WM Jaspers, Niels Peek
J Med Internet Res 2014;16(1):e1
(Jan 2, 2014)
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10 1.20 28.00 9 55
 
 
277
Internet Addiction Test (IAT): Which is the Best Factorial Solution?
Palmira Faraci, Giuseppe Craparo, Roberta Messina, Sergio Severino
J Med Internet Res 2013;15(10):e225
(Oct 9, 2013)
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10 0.90 8.00 9 45
 
 
278
Video Consultation Use by Australian General Practitioners: Video Vignette Study
Moyez Jiwa, Xingqiong Meng
J Med Internet Res 2013;15(6):e117
(Jun 19, 2013)
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10 0.83 21.00 9 45
 
 
279
Experiences of Multidisciplinary Development Team Members During User-Centered Design of Telecare Products and Services: A Qualitative Study
Joan Vermeulen, Renée Verwey, Laura MJ Hochstenbach, Sanne van der Weegen, Yan Ping Man, Luc P de Witte
J Med Internet Res 2014;16(5):e124
(May 19, 2014)
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10 2.56 0.00 9 55
 
 
280
What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire
Sonja Bidmon, Ralf Terlutter, Johanna Röttl
J Med Internet Res 2014;16(6):e148
(Jun 11, 2014)
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10 3.16 0.00 9 60
 
 
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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.