Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
181
Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness
Gunther Eysenbach
J Med Internet Res 2008;10(3):e22
(Aug 25, 2008)
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1 0.17 0.00 8 100
 
 
182
Hospital Website Rankings in the United States: Expanding Benchmarks and Standards for Effective Consumer Engagement
Timothy R Huerta, Jennifer L Hefner, Eric W Ford, Ann Scheck McAlearney, Nir Menachemi
J Med Internet Res 2014;16(2):e64
(Feb 25, 2014)
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1 0.17 0.00 8 75
 
 
183
Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part II): Assessment of Participants' Perceptions on Efficacy
Lorraine R Buis, Lindsey Hirzel, Scott A Turske, Terrisca R Des Jardins, Hossein Yarandi, Patricia Bondurant
J Med Internet Res 2013;15(12):e282
(Dec 19, 2013)
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1 0.17 0.00 8 60
 
 
184
Use of Behavioral Change Techniques in Web-Based Self-Management Programs for Type 2 Diabetes Patients: Systematic Review
Michael van Vugt, Maartje de Wit, Wilmy HJJ Cleijne, Frank J Snoek
J Med Internet Res 2013;15(12):e279
(Dec 13, 2013)
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1 0.17 0.00 8 65
 
 
185
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
 
 
186
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 1.69 0.00 7 80
 
 
187
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 2.20 0.00 7 70
 
 
188
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 1.80 0.00 7 60
 
 
189
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 1.97 0.00 7 65
 
 
190
Promoting Business and Entrepreneurial Awareness in Health Care Professionals: Lessons From Venture Capital Panels at Medicine 2.0 Conferences
Talya Miron-Shatz, Itamar Shatz, Stefan Becker, Jigar Patel, Gunther Eysenbach
J Med Internet Res 2014;16(8):e184
(Aug 6, 2014)
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7 8.04 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.