Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
71
An Exploration of Social Circles and Prescription Drug Abuse Through Twitter
Carl Lee Hanson, Ben Cannon, Scott Burton, Christophe Giraud-Carrier
J Med Internet Res 2013;15(9):e189
(Sep 6, 2013)
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26 2.46 82.00 21 85
 
 
72
Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network
Max Little, Paul Wicks, Timothy Vaughan, Alex Pentland
J Med Internet Res 2013;15(1):e20
(Jan 24, 2013)
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26 2.17 0.00 29 100
 
 
73
Pedometer-Based Internet-Mediated Intervention For Adults With Chronic Low Back Pain: Randomized Controlled Trial
Sarah L Krein, Reema Kadri, Maria Hughes, Eve A Kerr, John D Piette, Rob Holleman, Hyungjin Myra Kim, Caroline R Richardson
J Med Internet Res 2013;15(8):e181
(Aug 22, 2013)
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25 2.27 35.00 23 85
 
 
74
Anonymity Versus Privacy: Selective Information Sharing in Online Cancer Communities
Jeana Frost, Ivar E Vermeulen, Nienke Beekers
J Med Internet Res 2014;16(5):e126
(May 14, 2014)
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24 9.66 0.00 24 100
 
 
75
Would You Tell Everyone This? Facebook Conversations as Health Promotion Interventions
Jonathan Syred, Carla Naidoo, Sarah C Woodhall, Paula Baraitser
J Med Internet Res 2014;16(4):e108
(Apr 11, 2014)
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24 6.76 0.00 6 50
 
 
76
Online Survey on Twitter: A Urological Experience
Fabrizio Dal Moro
J Med Internet Res 2013;15(10):e238
(Oct 25, 2013)
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24 2.68 72.00 24 90
 
 
77
Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis
Atul Nakhasi, Album Xiaotian Shen, Ralph Joseph Passarella, Lawrence J Appel, Cheryl AM Anderson
J Med Internet Res 2014;16(6):e153
(Jun 16, 2014)
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23 16.20 0.00 18 95
 
 
78
Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
Yul Ha Min, Jong Won Lee, Yong-Wook Shin, Min-Woo Jo, Guiyun Sohn, Jae-Ho Lee, Guna Lee, Kyung Hae Jung, Joohon Sung, Beom Seok Ko, Jong-Han Yu, Hee Jeong Kim, Byung Ho Son, Sei Hyun Ahn
J Med Internet Res 2014;16(5):e135
(May 23, 2014)
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23 10.49 0.00 17 85
 
 
79
Computer-Delivered and Web-Based Interventions to Improve Depression, Anxiety, and Psychological Well-Being of University Students: A Systematic Review and Meta-Analysis
E Bethan Davies, Richard Morriss, Cris Glazebrook
J Med Internet Res 2014;16(5):e130
(May 16, 2014)
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23 9.51 0.00 17 75
 
 
80
Using Online Social Media for Recruitment of Human Immunodeficiency Virus-Positive Participants: A Cross-Sectional Survey
Patrick Yuan, Michael G Bare, Mallory O Johnson, Parya Saberi
J Med Internet Res 2014;16(5):e117
(May 1, 2014)
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23 7.92 0.00 17 80
 
 
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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.