Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
191
Effectiveness of Web-Based Tailored Advice on Parents’ Child Safety Behaviors: Randomized Controlled Trial
Mirjam Elisabeth Johanna van Beelen, Tinneke Monique Jozef Beirens, Paul den Hertog, Eduard Ferdinand van Beeck, Hein Raat
J Med Internet Res 2014;16(1):e17
(Jan 24, 2014)
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4 0.67 0.00 7 55
 
 
192
Caught in the Web: A Review of Web-Based Suicide Prevention
Mee Huong Lai, Thambu Maniam, Lai Fong Chan, Arun V Ravindran
J Med Internet Res 2014;16(1):e30
(Jan 28, 2014)
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4 0.70 0.00 4 25
 
 
193
Response to: Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews
Melinda Hutchesson, Philip Morgan, Penelope Jones, Clare Collins
J Med Internet Res 2014;16(7):e178
(Jul 24, 2014)
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3 92.88 0.00 3 55
 
 
194
Title Correction: Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study
Fabian Sudau, Tim Friede, Jens Grabowski, Janka Koschack, Philip Makedonski, Wolfgang Himmel
J Med Internet Res 2014;16(1):e39
(Jan 31, 2014)
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3 0.53 0.00 3 30
 
 
195
Applying Computerized Adaptive Testing to the Negative Acts Questionnaire-Revised: Rasch Analysis of Workplace Bullying
Shu-Ching Ma, Tsair-Wei Chien, Hsiu-Hung Wang, Yu-Chi Li, Mei-Shu Yui
J Med Internet Res 2014;16(2):e50
(Feb 17, 2014)
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3 0.59 0.00 3 30
 
 
196
Relative Validity of Micronutrient and Fiber Intake Assessed With Two New Interactive Meal- and Web-Based Food Frequency Questionnaires
Sara E Christensen, Elisabeth Möller, Stephanie E Bonn, Alexander Ploner, Olle Bälter, Lauren Lissner, Katarina Bälter
J Med Internet Res 2014;16(2):e59
(Feb 21, 2014)
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3 0.60 0.00 3 30
 
 
197
A Text Message-Based Intervention for Weight Loss: Randomized Controlled Trial
Kevin Patrick, Fred Raab, Marc Adams, Lindsay Dillon, Marion Zabinski, Cheryl Rock, William Griswold, Gregory Norman
J Med Internet Res 2009;11(1):e1
(Jan 13, 2009)
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3 0.50 0.00 1 70
 
 
198
Patient and Public Views on Electronic Health Records and Their Uses in the United Kingdom: Cross-Sectional Survey
Serena A Luchenski, Julie E Reed, Cicely Marston, Chrysanthi Papoutsi, Azeem Majeed, Derek Bell
J Med Internet Res 2013;15(8):e160
(Aug 23, 2013)
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3 0.50 0.00 28 85
 
 
199
Metadata Correction: How Patients With Schizophrenia Use the Internet: Qualitative Study
Beate Schrank, Ingrid Sibitz, Annemarie Unger, Michaela Amering
J Med Internet Res 2014;16(7):e165
(Jul 10, 2014)
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3 6.20 0.00 3 40
 
 
200
Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems
Joel JPC Rodrigues, Isabel de la Torre, Gonzalo Fernández, Miguel López-Coronado
J Med Internet Res 2013;15(8):e186
(Aug 21, 2013)
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3 0.50 0.00 13 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.