Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
291
Ethical Principles for Physician Rating Sites
Daniel Strech
J Med Internet Res 2011;13(4):e113
(Dec 6, 2011)
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1 0.08 0.00 8 25
 
 
292
Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph
David Donaire-Gonzalez, Audrey de Nazelle, Edmund Seto, Michelle Mendez, Mark J Nieuwenhuijsen, Michael Jerrett
J Med Internet Res 2013;15(6):e111
(Jun 13, 2013)
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13 1.30 7.00 7 60
 
 
293
Internet and Mobile Technology Use Among Urban African American Parents: Survey Study of a Clinical Population
Stephanie J Mitchell, Leandra Godoy, Kanya Shabazz, Ivor B Horn
J Med Internet Res 2014;16(1):e9
(Jan 13, 2014)
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11 3.55 0.00 7 70
 
 
294
Overcoming Addictions, a Web-Based Application, and SMART Recovery, an Online and In-Person Mutual Help Group for Problem Drinkers, Part 1: Three-Month Outcomes of a Randomized Controlled Trial
Reid K Hester, Kathryn L Lenberg, William Campbell, Harold D Delaney
J Med Internet Res 2013;15(7):e134
(Jul 11, 2013)
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10 1.10 32.00 7 55
 
 
295
Growing a Professional Network to Over 3000 Members in Less Than 4 Years: Evaluation of InspireNet, British Columbia’s Virtual Nursing Health Services Research Network
Noreen Frisch, Pat Atherton, Elizabeth Borycki, Grace Mickelson, Jennifer Cordeiro, Helen Novak Lauscher, Agnes Black
J Med Internet Res 2014;16(2):e49
(Feb 21, 2014)
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10 5.44 0.00 7 45
 
 
296
Using Google AdWords for International Multilingual Recruitment to Health Research Websites
Margaret S Gross, Nancy H Liu, Omar Contreras, Ricardo F Muñoz, Yan Leykin
J Med Internet Res 2014;16(1):e18
(Jan 20, 2014)
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9 3.13 0.00 7 60
 
 
297
Who Uses Physician-Rating Websites? Differences in Sociodemographic Variables, Psychographic Variables, and Health Status of Users and Nonusers of Physician-Rating Websites
Ralf Terlutter, Sonja Bidmon, Johanna Röttl
J Med Internet Res 2014;16(3):e97
(Mar 31, 2014)
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9 14.68 0.00 7 60
 
 
298
Efficacy of a Web-Based Computer-Tailored Smoking Prevention Intervention for Dutch Adolescents: Randomized Controlled Trial
Sanne de Josselin de Jong, Math Candel, Dewi Segaar, Henricus-Paul Cremers, Hein de Vries
J Med Internet Res 2014;16(3):e82
(Mar 21, 2014)
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9 9.62 0.00 7 80
 
 
299
Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study
Andrey Zheluk, Casey Quinn, Daniel Hercz, James A Gillespie
J Med Internet Res 2013;15(11):e256
(Nov 12, 2013)
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8 1.57 23.00 7 50
 
 
300
The Clinical Effectiveness of Web-Based Cognitive Behavioral Therapy With Face-to-Face Therapist Support for Depressed Primary Care Patients: Randomized Controlled Trial
Ragnhild Sørensen Høifødt, Kjersti R Lillevoll, Kathleen M Griffiths, Tom Wilsgaard, Martin Eisemann, Knut Waterloo, Nils Kolstrup
J Med Internet Res 2013;15(8):e153
(Aug 5, 2013)
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8 0.96 16.00 7 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.