Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
11
Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions
Martijn van der Eijk, Marjan J Faber, Johanna WM Aarts, Jan AM Kremer, Marten Munneke, Bastiaan R Bloem
J Med Internet Res 2013;15(6):e115
(Jun 25, 2013)
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139 14.51 183.00 107 100
 
 
12
The Conceptual and Practical Ethical Dilemmas of Using Health Discussion Board Posts as Research Data
Carol S Bond, Osman Hassan Ahmed, Martin Hind, Bronwen Thomas, Jaqui Hewitt-Taylor
J Med Internet Res 2013;15(6):e112
(Jun 7, 2013)
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48 4.72 170.00 29 90
 
 
13
Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students
Carl L Hanson, Scott H Burton, Christophe Giraud-Carrier, Josh H West, Michael D Barnes, Bret Hansen
J Med Internet Res 2013;15(4):e62
(Apr 17, 2013)
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64 5.33 151.00 16 70
 
 
14
The Impact of Social Media on Medical Professionalism: A Systematic Qualitative Review of Challenges and Opportunities
Fatemeh Gholami-Kordkheili, Verina Wild, Daniel Strech
J Med Internet Res 2013;15(8):e184
(Aug 28, 2013)
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67 8.91 146.00 52 95
 
 
15
Internet and Social Media For Health-Related Information and Communication in Health Care: Preferences of the Dutch General Population
Tom H Van de Belt, Lucien JLPG Engelen, Sivera AA Berben, Steven Teerenstra, Melvin Samsom, Lisette Schoonhoven
J Med Internet Res 2013;15(10):e220
(Oct 2, 2013)
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65 10.18 129.00 22 90
 
 
16
Crowdsourcing Black Market Prices For Prescription Opioids
Nabarun Dasgupta, Clark Freifeld, John S Brownstein, Christopher Mark Menone, Hilary L Surratt, Luke Poppish, Jody L Green, Eric J Lavonas, Richard C Dart
J Med Internet Res 2013;15(8):e178
(Aug 16, 2013)
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40 5.06 120.00 18 85
 
 
17
The Emergent Discipline of Health Web Science
Joanne S Luciano, Grant P Cumming, Mark D Wilkinson, Eva Kahana
J Med Internet Res 2013;15(8):e166
(Aug 22, 2013)
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69 8.95 110.00 55 95
 
 
18
Evidence of Effectiveness of Health Care Professionals Using Handheld Computers: A Scoping Review of Systematic Reviews
Sharon Mickan, Julie K Tilson, Helen Atherton, Nia Wyn Roberts, Carl Heneghan
J Med Internet Res 2013;15(10):e212
(Oct 28, 2013)
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65 11.72 109.00 60 100
 
 
19
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Mark MyslĂ­n, Shu-Hong Zhu, Wendy Chapman, Mike Conway
J Med Internet Res 2013;15(8):e174
(Aug 29, 2013)
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46 6.15 100.00 31 85
 
 
20
Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study
Laura Dennison, Leanne Morrison, Gemma Conway, Lucy Yardley
J Med Internet Res 2013;15(4):e86
(Apr 18, 2013)
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103 8.75 96.00 74 95
 
 
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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.