Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
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 5.40 0.00 17 85
 
 
32
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 4.63 0.00 17 80
 
 
33
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 5.13 0.00 17 75
 
 
34
Effectiveness of a Web-Based Solution-Focused Brief Chat Treatment for Depressed Adolescents and Young Adults: Randomized Controlled Trial
Jeannet Kramer, Barbara Conijn, Pien Oijevaar, Heleen Riper
J Med Internet Res 2014;16(5):e141
(May 29, 2014)
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22 5.41 0.00 13 75
 
 
35
The Psychometric Properties of CollaboRATE: A Fast and Frugal Patient-Reported Measure of the Shared Decision-Making Process
Paul James Barr, Rachel Thompson, Thom Walsh, Stuart W Grande, Elissa M Ozanne, Glyn Elwyn
J Med Internet Res 2014;16(1):e2
(Jan 3, 2014)
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22 3.67 0.00 10 65
 
 
36
The Role of Facebook in Crush the Crave, a Mobile- and Social Media-Based Smoking Cessation Intervention: Qualitative Framework Analysis of Posts
Laura Louise Struik, Neill Bruce Baskerville
J Med Internet Res 2014;16(7):e170
(Jul 11, 2014)
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22 8.22 0.00 21 95
 
 
37
User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom
Braden O'Neill, Sue Ziebland, Jose Valderas, Francisco Lupiáñez-Villanueva
J Med Internet Res 2014;16(4):e118
(Apr 30, 2014)
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22 4.40 0.00 21 80
 
 
38
Facebook Apps for Smoking Cessation: A Review of Content and Adherence to Evidence-Based Guidelines
Megan A Jacobs, Caroline O Cobb, Lorien Abroms, Amanda L Graham
J Med Internet Res 2014;16(9):e205
(Sep 9, 2014)
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21 28.31 0.00 13 70
 
 
39
Communicating the Experience of Chronic Pain and Illness Through Blogging
Pamela Katz Ressler, Ylisabyth S. Bradshaw, Lisa Gualtieri, Kenneth Kwan Ho Chui
J Med Internet Res 2012;14(5):e143
(Oct 23, 2012)
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21 3.50 0.00 57 95
 
 
40
Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study
Thiago D Nascimento, Marcos F DosSantos, Theodora Danciu, Misty DeBoer, Hendrik van Holsbeeck, Sarah R Lucas, Christine Aiello, Leen Khatib, MaryCatherine A Bender, UMSoD (Under)Graduate Class Of 2014, Jon-Kar Zubieta, Alexandre F DaSilva
J Med Internet Res 2014;16(4):e96
(Apr 3, 2014)
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21 3.58 0.00 18 100
 
 
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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.