Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
41
Internet Use Frequency and Patient-Centered Care: Measuring Patient Preferences for Participation Using the Health Information Wants Questionnaire
Bo Xie, Mo Wang, Robert Feldman, Le Zhou
J Med Internet Res 2013;15(7):e132
(Jul 1, 2013)
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29 3.03 64.00 27 90
 
 
42
Outsourcing Medical Data Analyses: Can Technology Overcome Legal, Privacy, and Confidentiality Issues?
Bostjan Brumen, Marjan Heričko, Andrej Sevčnikar, Jernej Završnik, Marko Hölbl
J Med Internet Res 2013;15(12):e283
(Dec 16, 2013)
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20 4.81 64.00 18 100
 
 
43
Swarm-Based Medicine
Paul Martin Putora, Jan Oldenburg
J Med Internet Res 2013;15(9):e207
(Sep 19, 2013)
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31 4.43 58.00 27 100
 
 
44
Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception
Bo Liang, Debra L Scammon
J Med Internet Res 2013;15(6):e114
(Jun 17, 2013)
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28 2.79 58.00 25 85
 
 
45
An Analysis of Online Evaluations on a Physician Rating Website: Evidence From a German Public Reporting Instrument
Martin Emmert, Florian Meier
J Med Internet Res 2013;15(8):e157
(Aug 6, 2013)
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17 2.02 56.00 5 40
 
 
46
Patient Experiences With Full Electronic Access to Health Records and Clinical Notes Through the My HealtheVet Personal Health Record Pilot: Qualitative Study
Susan S Woods, Erin Schwartz, Anais Tuepker, Nancy A Press, Kim M Nazi, Carolyn L Turvey, W. Paul Nichol
J Med Internet Res 2013;15(3):e65
(Mar 27, 2013)
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24 2.00 55.00 70 100
 
 
47
Security Concerns to Be Considered When Downloading Human Immunodeficiency Virus/Sexually Transmitted Disease Related Smartphone Applications
Savita Lorreta Brito-Mutunayagam, Imali Fernando
J Med Internet Res 2013;15(10):e222
(Oct 7, 2013)
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19 2.96 55.00 15 70
 
 
48
Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information
Brian S McGowan, Molly Wasko, Bryan Steven Vartabedian, Robert S Miller, Desirae D Freiherr, Maziar Abdolrasulnia
J Med Internet Res 2012;14(5):e117
(Sep 24, 2012)
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52 4.33 51.00 142 100
 
 
49
Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part I): Assessment of Participant Reach and Adoption
Lorraine R Buis, Lindsey Hirzel, Scott A Turske, Terrisca R Des Jardins, Hossein Yarandi, Patricia Bondurant
J Med Internet Res 2013;15(12):e281
(Dec 19, 2013)
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21 5.17 51.00 14 90
 
 
50
The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use
Namkee G. Choi, Diana M DiNitto
J Med Internet Res 2013;15(5):e93
(May 2, 2013)
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20 1.74 51.00 14 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.