Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
21
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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74 11.03 229.00 59 95
 
 
22
Using Internet Search Engines to Obtain Medical Information: A Comparative Study
Liupu Wang, Juexin Wang, Michael Wang, Yong Li, Yanchun Liang, Dong Xu
J Med Internet Res 2012;14(3):e74
(May 16, 2012)
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80 6.74 227.00 46 85
 
 
23
What Are Young Adults Saying About Mental Health? An Analysis of Internet Blogs
Madalyn A Marcus, Henny A Westra, John D Eastwood, Kirsten L Barnes, Mobilizing Minds Research Group
J Med Internet Res 2012;14(1):e17
(Jan 30, 2012)
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75 4.89 207.00 38 95
 
 
24
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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80 4.10 200.00 43 100
 
 
25
Developing Health Promotion Interventions on Social Networking Sites: Recommendations from The FaceSpace Project
Judy Gold, Alisa E Pedrana, Mark A Stoove, Shanton Chang, Steve Howard, Jason Asselin, Olivia Ilic, Colin Batrouney, Margaret E Hellard
J Med Internet Res 2012;14(1):e30
(Feb 28, 2012)
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73 5.07 190.00 48 100
 
 
26
Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health
Connie Chen, David Haddad, Joshua Selsky, Julia E Hoffman, Richard L Kravitz, Deborah E Estrin, Ida Sim
J Med Internet Res 2012;14(4):e112
(Aug 9, 2012)
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73 8.00 185.00 60 100
 
 
27
Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness
Margaret E Morris, Qusai Kathawala, Todd K Leen, Ethan E Gorenstein, Farzin Guilak, William DeLeeuw, Michael Labhard
J Med Internet Res 2010;12(2):e10
(Apr 30, 2010)
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74 2.06 184.00 36 85
 
 
28
Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial
Emily Brindal, Jill Freyne, Ian Saunders, Shlomo Berkovsky, Greg Smith, Manny Noakes
J Med Internet Res 2012;14(6):e173
(Dec 12, 2012)
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63 12.36 180.00 57 90
 
 
29
Feasibility of a Wiki as a Participatory Tool for Patients in Clinical Guideline Development
Elvira ME den Breejen, Willianne LDM Nelen, Jose M.L. Knijnenburg, Jako S Burgers, Rosella PMG Hermens, Jan AM Kremer
J Med Internet Res 2012;14(5):e138
(Oct 26, 2012)
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74 11.19 176.00 51 95
 
 
30
What E-patients Want From the Doctor-Patient Relationship: Content Analysis of Posts on Discussion Boards
Jaqui Hewitt-Taylor, Carol S Bond
J Med Internet Res 2012;14(6):e155
(Nov 8, 2012)
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73 11.79 172.00 59 95
 
 
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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