Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
31
Mapping mHealth Research: A Decade of Evolution
Maddalena Fiordelli, Nicola Diviani, Peter J. Schulz
J Med Internet Res 2013;15(5):e95
(May 21, 2013)
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104 111.17 174.00 81 100
 
 
32
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 10.15 172.00 59 95
 
 
33
What do Web-Use Skill Differences Imply for Online Health Information Searches?
Markus A Feufel, S Frederica Stahl
J Med Internet Res 2012;14(3):e87
(Jun 13, 2012)
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54 4.51 169.00 31 75
 
 
34
Internet Skills Performance Tests: Are People Ready for eHealth?
Alexander J.A.M. van Deursen, Jan A.G.M. van Dijk
J Med Internet Res 2011;13(2):e35
(Apr 29, 2011)
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70 2.77 163.00 39 90
 
 
35
Protected Health Information on Social Networking Sites: Ethical and Legal Considerations
Lindsay A Thompson, Erik Black, W Patrick Duff, Nicole Paradise Black, Heidi Saliba, Kara Dawson
J Med Internet Res 2011;13(1):e8
(Jan 19, 2011)
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81 2.85 160.00 36 100
 
 
36
Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness
Gunther Eysenbach
J Med Internet Res 2008;10(3):e22
(Aug 25, 2008)
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57 1.00 159.00 8 100
 
 
37
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 1.23 156.00 24 75
 
 
38
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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78 8.03 150.00 47 95
 
 
39
How Cancer Survivors Provide Support on Cancer-Related Internet Mailing Lists
Andrea Meier, Elizabeth Lyons, Gilles Frydman, Michael Forlenza, Barbara Rimer
J Med Internet Res 2007;9(2):e12
(May 14, 2007)
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22 0.34 148.00 1 95
 
 
40
Review of Extracting Information From the Social Web for Health Personalization
Luis Fernandez-Luque, Randi Karlsen, Jason Bonander
J Med Internet Res 2011;13(1):e15
(Jan 28, 2011)
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60 2.13 144.00 50 100
 
 
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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.

 * Tweets Data Collection began January 2008