Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
301
Online Interventions for Social Marketing Health Behavior Change Campaigns: A Meta-Analysis of Psychological Architectures and Adherence Factors
Brian Cugelman, Mike Thelwall, Phil Dawes
J Med Internet Res 2011;13(1):e17
(Feb 14, 2011)
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5 0.42 0.00 21 65
 
 
302
Communications Between Volunteers and Health Researchers during Recruitment and Informed Consent: Qualitative Content Analysis of Email Interactions
Anne Townsend, Zubin Amarsi, Catherine Backman, Susan M Cox, Linda C Li
J Med Internet Res 2011;13(4):e84
(Oct 13, 2011)
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5 0.42 0.00 2 0
 
 
303
Online Mental Health Resources in Rural Australia: Clinician Perceptions of Acceptability
Craig Sinclair, Kristi Holloway, Geoffrey Riley, Kirsten Auret
J Med Internet Res 2013;15(9):e193
(Sep 5, 2013)
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5 0.42 0.00 8 55
 
 
304
Searching for Cancer Information on the Internet: Analyzing Natural Language Search Queries
Judith L Bader, Mary Frances Theofanos
J Med Internet Res 2003;5(4):e31
(Dec 11, 2003)
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5 0.42 0.00 3 100
 
 
305
A Method for the Design and Development of Medical or Health Care Information Websites to Optimize Search Engine Results Page Rankings on Google
Suzanne Dunne, Niamh Maria Cummins, Ailish Hannigan, Bill Shannon, Colum Dunne, Walter Cullen
J Med Internet Res 2013;15(8):e183
(Aug 27, 2013)
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5 0.42 2.00 15 60
 
 
306
Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study
Daniel Kutz, Kalpana Shankar, Kay Connelly
J Med Internet Res 2013;15(5):e83
(May 14, 2013)
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5 0.42 8.00 6 25
 
 
307
The Conceptual and Practical Ethical Dilemmas of Using Health Discussion Board Posts as Research Data
Carol S Bond, Osman Hassan Ahmed, Martin Hind, Bronwen Thomas, Jaqui Hewitt-Taylor
J Med Internet Res 2013;15(6):e112
(Jun 7, 2013)
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5 0.42 11.00 29 90
 
 
308
The Emergent Discipline of Health Web Science
Joanne S Luciano, Grant P Cumming, Mark D Wilkinson, Eva Kahana
J Med Internet Res 2013;15(8):e166
(Aug 22, 2013)
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5 0.42 14.00 55 95
 
 
309
Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment
Rebecca Schnall, Anastasia Okoniewski, Victoria Tiase, Alexander Low, Martha Rodriguez, Steven Kaplan
J Med Internet Res 2013;15(3):e54
(Mar 6, 2013)
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5 0.42 0.00 18 75
 
 
310
Retrieving Clinical Evidence: A Comparison of PubMed and Google Scholar for Quick Clinical Searches
Salimah Z Shariff, Shayna AD Bejaimal, Jessica M Sontrop, Arthur V Iansavichus, R Brian Haynes, Matthew A Weir, Amit X Garg
J Med Internet Res 2013;15(8):e164
(Aug 15, 2013)
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5 0.42 2.00 323 100
 
 
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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.