Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
51
Physicians Interrupted by Mobile Devices in Hospitals: Understanding the Interaction Between Devices, Roles, and Duties
Terje Solvoll, Jeremiah Scholl, Gunnar Hartvigsen
J Med Internet Res 2013;15(3):e56
(Mar 7, 2013)
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29 11.38 66.00 25 80
 
 
52
Use of Social Media by Western European Hospitals: Longitudinal Study
Tom H Van de Belt, Sivera AA Berben, Melvin Samsom, Lucien JLPG Engelen, Lisette Schoonhoven
J Med Internet Res 2012;14(3):e61
(May 1, 2012)
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33 2.75 64.00 108 95
 
 
53
Web-Based Cognitive Behavior Therapy for Depression With and Without Telephone Tracking in a National Helpline: Secondary Outcomes From a Randomized Controlled Trial
Louise Farrer, Helen Christensen, Kathleen M Griffiths, Andrew Mackinnon
J Med Internet Res 2012;14(3):e68
(Jun 27, 2012)
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27 2.52 64.00 18 60
 
 
54
Issues in mHealth: Findings From Key Informant Interviews
Robyn Whittaker
J Med Internet Res 2012;14(5):e129
(Oct 2, 2012)
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29 3.83 63.00 23 75
 
 
55
Socioeconomic and Geographic Disparities in Health Information Seeking and Internet Use in Puerto Rico
Lila J Finney Rutten, Bradford W Hesse, Richard P Moser, Ana Patricia Ortiz Martinez, Julie Kornfeld, Robin C Vanderpool, Margaret Byrne, Guillermo Tortolero Luna
J Med Internet Res 2012;14(4):e104
(Jul 19, 2012)
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25 2.50 63.00 18 75
 
 
56
A Systematic Review of Web-Based Interventions for Patient Empowerment and Physical Activity in Chronic Diseases: Relevance for Cancer Survivors
Wilma Kuijpers, Wim G Groen, Neil K Aaronson, Wim H van Harten
J Med Internet Res 2013;15(2):e37
(Feb 20, 2013)
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36 11.87 62.00 26 90
 
 
57
Public Health Interventions: Reaching Latino Adolescents via Short Message Service and Social Media
Amita N. Vyas, Megan Landry, Marisa Schnider, Angela M. Rojas, Susan F. Wood
J Med Internet Res 2012;14(4):e99
(Jul 12, 2012)
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29 2.84 62.00 21 90
 
 
58
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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60 11.92 61.00 20 80
 
 
59
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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29 112.36 61.00 29 95
 
 
60
Patient Attitudes Toward Mobile Phone-Based Health Monitoring: Questionnaire Study Among Kidney Transplant Recipients
John William McGillicuddy, Ana Katherine Weiland, Ronja Maximiliane Frenzel, Martina Mueller, Brenda Marie Brunner-Jackson, David James Taber, Prabhakar Kalyanpur Baliga, Frank Anton Treiber
J Med Internet Res 2013;15(1):e6
(Jan 8, 2013)
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23 5.20 59.00 21 75
 
 
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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.