Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
41
A Smartphone-Based Intervention With Diaries and Therapist-Feedback to Reduce Catastrophizing and Increase Functioning in Women With Chronic Widespread Pain: Randomized Controlled Trial
Ólöf Birna Kristjánsdóttir, Egil A. Fors, Erlend Eide, Arnstein Finset, Tonje Lauritzen Stensrud, Sandra van Dulmen, Sigrid Hørven Wigers, Hilde Eide
J Med Internet Res 2013;15(1):e5
(Jan 7, 2013)
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30 6.99 47.00 22 85
 
 
42
A Data Encryption Solution for Mobile Health Apps in Cooperation Environments
Bruno M Silva, Joel JPC Rodrigues, Fábio Canelo, Ivo C Lopes, Liang Zhou
J Med Internet Res 2013;15(4):e66
(Apr 25, 2013)
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19 23.56 47.00 19 80
 
 
43
A Systematic Self-Certification Model for Mobile Medical Apps
Thomas Lorchan Lewis
J Med Internet Res 2013;15(4):e89
(Apr 24, 2013)
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21 25.04 46.00 20 85
 
 
44
Eight Questions About Physician-Rating Websites: A Systematic Review
Martin Emmert, Uwe Sander, Frank Pisch
J Med Internet Res 2013;15(2):e24
(Feb 1, 2013)
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21 6.03 45.00 19 90
 
 
45
What Do Electronic Health Record Vendors Reveal About Their Products: An Analysis of Vendor Websites
Natalie K Yeung, Alejandro R Jadad, Aviv Shachak
J Med Internet Res 2013;15(2):e36
(Feb 19, 2013)
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17 5.86 44.00 14 55
 
 
46
Preferred Sources of Health Information in Persons With Multiple Sclerosis: Degree of Trust and Information Sought
Ruth Ann Marrie, Amber R Salter, Tuula Tyry, Robert J Fox, Gary R Cutter
J Med Internet Res 2013;15(4):e67
(Apr 30, 2013)
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12 18.60 44.00 12 65
 
 
47
Munchausen by Internet: Current Research and Future Directions
Andy Pulman, Jacqui Taylor
J Med Internet Res 2012;14(4):e115
(Aug 22, 2012)
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19 3.17 43.00 47 95
 
 
48
Internet-Based Photoaging Within Australian Pharmacies to Promote Smoking Cessation: Randomized Controlled Trial
Oksana Burford, Moyez Jiwa, Owen Carter, Richard Parsons, Delia Hendrie
J Med Internet Res 2013;15(3):e64
(Mar 26, 2013)
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18 10.15 43.00 10 45
 
 
49
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 5.17 43.00 7 25
 
 
50
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 2.55 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.