Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
311
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 0.08 0.00 8 40
 
 
312
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 1.36 0.00 7 70
 
 
313
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 1.46 0.00 7 45
 
 
314
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 1.52 0.00 7 80
 
 
315
Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study
Toomas Timpka, Armin Spreco, Örjan Dahlström, Olle Eriksson, Elin Gursky, Joakim Ekberg, Eva Blomqvist, Magnus Strömgren, David Karlsson, Henrik Eriksson, James Nyce, Jorma Hinkula, Einar Holm
J Med Internet Res 2014;16(4):e116
(Apr 28, 2014)
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9 1.91 0.00 7 70
 
 
316
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 1.14 0.00 7 60
 
 
317
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 1.60 0.00 7 60
 
 
318
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 0.79 23.00 7 50
 
 
319
Comparison of US Panel Vendors for Online Surveys
Benjamin M Craig, Ron D Hays, A Simon Pickard, David Cella, Dennis A Revicki, Bryce B Reeve
J Med Internet Res 2013;15(11):e260
(Nov 29, 2013)
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8 0.84 2.00 7 45
 
 
320
Adherence to Self-Monitoring via Interactive Voice Response Technology in an eHealth Intervention Targeting Weight Gain Prevention Among Black Women: Randomized Controlled Trial
Dori M Steinberg, Erica L Levine, Ilana Lane, Sandy Askew, Perry B Foley, Elaine Puleo, Gary G Bennett
J Med Internet Res 2014;16(4):e114
(Apr 29, 2014)
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8 1.71 0.00 7 65
 
 
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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.