Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
Representation of Health Conditions on Facebook: Content Analysis and Evaluation of User Engagement
Timothy M Hale, Akhilesh S Pathipati, Shiyi Zan, Kamal Jethwani
J Med Internet Res 2014;16(8):e182
(Aug 4, 2014)
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61 105.06 0.00 29 95
 
 
22
How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research
Timothy B Baker, David H Gustafson, Dhavan Shah
J Med Internet Res 2014;16(2):e36
(Feb 19, 2014)
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60 10.11 0.00 45 95
 
 
23
Massive Open Online Courses on Health and Medicine: Review
Tharindu Rekha Liyanagunawardena, Shirley Ann Williams
J Med Internet Res 2014;16(8):e191
(Aug 14, 2014)
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58 224.72 0.00 58 100
 
 
24
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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57 4.75 73.00 323 100
 
 
25
Health Domains for Sale: The Need for Global Health Internet Governance
Tim Ken Mackey, Bryan A Liang, Jillian C Kohler, Amir Attaran
J Med Internet Res 2014;16(3):e62
(Mar 5, 2014)
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52 9.48 0.00 46 100
 
 
26
Community Management That Works: How to Build and Sustain a Thriving Online Health Community
Colleen Young
J Med Internet Res 2013;15(6):e119
(Jun 11, 2013)
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51 4.25 93.00 101 100
 
 
27
Are Health Behavior Change Interventions That Use Online Social Networks Effective? A Systematic Review
Carol A Maher, Lucy K Lewis, Katia Ferrar, Simon Marshall, Ilse De Bourdeaudhuij, Corneel Vandelanotte
J Med Internet Res 2014;16(2):e40
(Feb 14, 2014)
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50 8.20 0.00 29 85
 
 
28
Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership
Jenine K Harris, Bechara Choucair, Ryan C Maier, Nina Jolani, Jay M Bernhardt
J Med Internet Res 2014;16(2):e31
(Feb 26, 2014)
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50 8.76 0.00 25 95
 
 
29
Transparency of Health-Apps for Trust and Decision Making
Urs-Vito Albrecht
J Med Internet Res 2013;15(12):e277
(Dec 30, 2013)
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48 6.33 64.00 38 95
 
 
30
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Mark MyslĂ­n, Shu-Hong Zhu, Wendy Chapman, Mike Conway
J Med Internet Res 2013;15(8):e174
(Aug 29, 2013)
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46 3.98 100.00 31 85
 
 
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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.