Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
211
Online Interventions for Social Marketing Health Behavior Change Campaigns: A Meta-Analysis of Psychological Architectures and Adherence Factors
Brian Cugelman, Mike Thelwall, Phil Dawes
J Med Internet Res 2011;13(1):e17
(Feb 14, 2011)
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3 0.50 0.00 21 65
 
 
212
Virtual Patients in Primary Care: Developing a Reusable Model That Fosters Reflective Practice and Clinical Reasoning
Helena Salminen, Nabil Zary, Karin Björklund, Eva Toth-Pal, Charlotte Leanderson
J Med Internet Res 2014;16(1):e3
(Jan 6, 2014)
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3 0.50 0.00 8 50
 
 
213
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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3 0.50 0.00 22 85
 
 
214
Feasibility of a Wiki as a Participatory Tool for Patients in Clinical Guideline Development
Elvira ME den Breejen, Willianne LDM Nelen, Jose M.L. Knijnenburg, Jako S Burgers, Rosella PMG Hermens, Jan AM Kremer
J Med Internet Res 2012;14(5):e138
(Oct 26, 2012)
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3 0.50 0.00 50 95
 
 
215
A Conceptual Framework and Principles for Trusted Pervasive Health
Pekka Sakari Ruotsalainen, Bernd Gerhard Blobel, Antto Veikko Seppälä, Hannu Olavi Sorvari, Pirkko Anneli Nykänen
J Med Internet Res 2012;14(2):e52
(Apr 6, 2012)
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3 0.50 0.00 16 65
 
 
216
Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews
Leonie FM Kohl, Rik Crutzen, Nanne K de Vries
J Med Internet Res 2013;15(7):e146
(Jul 16, 2013)
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3 0.50 0.00 16 85
 
 
217
Online Social Networks and Smoking Cessation: A Scientific Research Agenda
Nathan K Cobb, Amanda L Graham, M Justin Byron, David B Abrams, Workshop Participants
J Med Internet Res 2011;13(4):e119
(Dec 19, 2011)
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3 0.50 0.00 19 80
 
 
218
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
 
 
219
Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study
Joseph A Cafazzo, Mark Casselman, Nathaniel Hamming, Debra K Katzman, Mark R Palmert
J Med Internet Res 2012;14(3):e70
(May 8, 2012)
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2 0.33 0.00 47 90
 
 
220
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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2 0.33 0.00 7 55
 
 
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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.