Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
71
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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16 4.10 21.00 16 85
 
 
72
Effectiveness of a Web-Based Cognitive-Behavioral Tool to Improve Mental Well-Being in the General Population: Randomized Controlled Trial
John Powell, Thomas Hamborg, Nigel Stallard, Amanda Burls, Jaime McSorley, Kylie Bennett, Kathleen M Griffiths, Helen Christensen
J Med Internet Res 2013;15(1):e2
(Jan 9, 2013)
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15 3.42 21.00 14 70
 
 
73
Evaluation of a Web-Based Social Network Electronic Game in Enhancing Mental Health Literacy for Young People
Tim MH Li, Michael Chau, Paul WC Wong, Eliza SY Lai, Paul SF Yip
J Med Internet Res 2013;15(5):e80
(May 15, 2013)
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14 43.40 19.00 14 65
 
 
74
Utilizing Social Media to Study Information-Seeking and Ethical Issues in Gene Therapy
Julie M Robillard, Louise Whiteley, Thomas Wade Johnson, Jonathan Lim, Wyeth W Wasserman, Judy Illes
J Med Internet Res 2013;15(3):e44
(Mar 4, 2013)
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14 5.29 29.00 14 60
 
 
75
Effects of Internet Popular Opinion Leaders (iPOL) Among Internet-Using Men Who Have Sex With Men
Nai-Ying Ko, Chao-Hsien Hsieh, Ming-Chi Wang, Chiang Lee, Chun-Lin Chen, An-Chun Chung, Su-Ting Hsu
J Med Internet Res 2013;15(2):e40
(Feb 25, 2013)
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14 4.88 43.00 7 25
 
 
76
An Interactive Internet-Based Plate for Assessing Lunchtime Food Intake: A Validation Study on Male Employees
Madeleine Svensson, Rino Bellocco, Linda Bakkman, Ylva Trolle Lagerros
J Med Internet Res 2013;15(1):e13
(Jan 18, 2013)
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14 3.42 12.00 11 45
 
 
77
Definition of Health 2.0 and Medicine 2.0: A Systematic Review
Tom H Van De Belt, Lucien JLPG Engelen, Sivera AA Berben, Lisette Schoonhoven
J Med Internet Res 2010;12(2):e18
(Jun 11, 2010)
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14 2.33 42.00 65 100
 
 
78
Young Men, Mental Health, and Technology: Implications for Service Design and Delivery in the Digital Age
Louise A Ellis, Philippa Collin, Tracey A Davenport, Patrick J Hurley, Jane M Burns, Ian B Hickie
J Med Internet Res 2012;14(6):e160
(Nov 22, 2012)
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14 2.33 29.00 54 95
 
 
79
Prevalence and Characteristics of Smokers Interested in Internet-Based Smoking Cessation Interventions: Cross-sectional Findings From a National Household Survey
Jamie Brown, Susan Michie, Tobias Raupach, Robert West
J Med Internet Res 2013;15(3):e50
(Mar 18, 2013)
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13 5.93 14.00 11 50
 
 
80
Searching for Truth: Internet Search Patterns as a Method of Investigating Online Responses to a Russian Illicit Drug Policy Debate
Andrey Zheluk, James A. Gillespie, Casey Quinn
J Med Internet Res 2012;14(6):e165
(Dec 13, 2012)
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13 2.47 43.00 8 50
 
 
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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.