Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
41
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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3 3.00 0.00 22 85
 
 
42
Increased Use of Twitter at a Medical Conference: A Report and a Review of the Educational Opportunities
Douglas RA McKendrick, Grant P Cumming, Amanda J Lee
J Med Internet Res 2012;14(6):e176
(Dec 11, 2012)
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3 3.00 0.00 105 95
 
 
43
Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network
Max Little, Paul Wicks, Timothy Vaughan, Alex Pentland
J Med Internet Res 2013;15(1):e20
(Jan 24, 2013)
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3 3.00 0.00 29 100
 
 
44
A Decade of Research on the Use of Three-Dimensional Virtual Worlds in Health Care: A Systematic Literature Review
Reza Ghanbarzadeh, Amir Hossein Ghapanchi, Michael Blumenstein, Amir Talaei-Khoei
J Med Internet Res 2014;16(2):e47
(Feb 18, 2014)
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3 3.00 0.00 4 40
 
 
45
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
Miguel Angel Luengo-Oroz, Asier Arranz, John Frean
J Med Internet Res 2012;14(6):e167
(Nov 29, 2012)
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3 3.00 0.00 175 100
 
 
46
Collecting Maternal Health Information From HIV-Positive Pregnant Women Using Mobile Phone-Assisted Face-to-Face Interviews in Southern Africa
Alastair van Heerden, Shane Norris, Stephen Tollman, Linda Richter, Mary Jane Rotheram-Borus
J Med Internet Res 2013;15(6):e116
(Jun 10, 2013)
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3 3.00 0.00 9 60
 
 
47
A Multidimensional View of Personal Health Systems for Underserved Populations
Thomas A Horan, Nathan E Botts, Richard J Burkhard
J Med Internet Res 2010;12(3):e32
(Aug 4, 2010)
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2 2.00 0.00 30 85
 
 
48
Wikis and Collaborative Writing Applications in Health Care: A Scoping Review
Patrick M Archambault, Tom H van de Belt, Francisco J Grajales III, Marjan J Faber, Craig E Kuziemsky, Susie Gagnon, Andrea Bilodeau, Simon Rioux, Willianne LDM Nelen, Marie-Pierre Gagnon, Alexis F Turgeon, Karine Aubin, Irving Gold, Julien Poitras, Gunther Eysenbach, Jan AM Kremer, France Légaré
J Med Internet Res 2013;15(10):e210
(Oct 8, 2013)
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2 2.00 0.00 75 100
 
 
49
Social Media and Rating Sites as Tools to Understanding Quality of Care: A Scoping Review
Lise M Verhoef, Tom H Van de Belt, Lucien JLPG Engelen, Lisette Schoonhoven, Rudolf B Kool
J Med Internet Res 2014;16(2):e56
(Feb 20, 2014)
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2 2.00 0.00 16 75
 
 
50
The Clinical Effectiveness of Web-Based Cognitive Behavioral Therapy With Face-to-Face Therapist Support for Depressed Primary Care Patients: Randomized Controlled Trial
Ragnhild Sørensen Høifødt, Kjersti R Lillevoll, Kathleen M Griffiths, Tom Wilsgaard, Martin Eisemann, Knut Waterloo, Nils Kolstrup
J Med Internet Res 2013;15(8):e153
(Aug 5, 2013)
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2 2.00 0.00 7 60
 
 
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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.