Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
71
Scope of Policy Issues in eHealth: Results From a Structured Literature Review
Shariq Khoja, Hammad Durrani, Parvez Nayani, Ammad Fahim
J Med Internet Res 2012;14(1):e34
(Feb 17, 2012)
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45 3.05 97.00 15 50
 
 
72
Prevalence and Global Health Implications of Social Media in Direct-to-Consumer Drug Advertising
Bryan A Liang, Timothy K Mackey
J Med Internet Res 2011;13(3):e64
(Aug 31, 2011)
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45 2.22 114.00 36 95
 
 
73
Open Source, Open Standards, and Health Care Information Systems
Carl J Reynolds, Jeremy C Wyatt
J Med Internet Res 2011;13(1):e24
(Feb 17, 2011)
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45 1.70 82.00 7 15
 
 
74
How Breast Cancer Patients Want to Search for and Retrieve Information From Stories of Other Patients on the Internet: an Online Randomized Controlled Experiment
Regina Overberg, Wilma Otten, Andries de Man, Pieter Toussaint, Judith Westenbrink, Bertie Zwetsloot-Schonk
J Med Internet Res 2010;12(1):e7
(Mar 9, 2010)
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45 1.20 102.00 19 75
 
 
75
Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis
Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, Erik Augustson
J Med Internet Res 2011;13(1):e7
(Jan 17, 2011)
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44 1.60 115.00 28 100
 
 
76
Using Crowdsourcing Technology for Testing Multilingual Public Health Promotion Materials
Anne M. Turner, Katrin Kirchhoff, Daniel Capurro
J Med Internet Res 2012;14(3):e79
(Jun 4, 2012)
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43 3.82 130.00 23 65
 
 
77
A Changing Landscape of Physician Quality Reporting: Analysis of Patients’ Online Ratings of Their Physicians Over a 5-Year Period
Guodong Gordon Gao, Jeffrey S McCullough, Ritu Agarwal, Ashish K Jha
J Med Internet Res 2012;14(1):e38
(Feb 24, 2012)
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43 2.96 107.00 35 95
 
 
78
CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions
Gunther Eysenbach, CONSORT-EHEALTH Group
J Med Internet Res 2011;13(4):e126
(Dec 31, 2011)
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43 2.64 83.00 19 65
 
 
79
Web-Based Recruiting for Health Research Using a Social Networking Site: An Exploratory Study
Yeshe Fenner, Suzanne M Garland, Elya E Moore, Yasmin Jayasinghe, Ashley Fletcher, Sepehr N Tabrizi, Bharathy Gunasekaran, John D Wark
J Med Internet Res 2012;14(1):e20
(Feb 1, 2012)
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42 2.75 107.00 29 75
 
 
80
Associations of Internet Website Use With Weight Change in a Long-term Weight Loss Maintenance Program
Kristine L Funk, Victor J Stevens, Lawrence J Appel, Alan Bauck, Phillip J Brantley, Catherine M Champagne, Janelle Coughlin, Arlene T Dalcin, Jean Harvey-Berino, Jack F Hollis, Gerald J Jerome, Betty M Kennedy, Lillian F Lien, Valerie H Myers, Carmen Samuel-Hodge, Laura P Svetkey, William M Vollmer
J Med Internet Res 2010;12(3):e29
(Jul 27, 2010)
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42 1.27 156.00 24 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.

 * Tweets Data Collection began January 2008