Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
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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46 29.10 0.00 25 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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51 28.23 0.00 45 95
 
 
23
The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output
Ahmed Allam, Peter Johannes Schulz, Kent Nakamoto
J Med Internet Res 2014;16(4):e100
(Apr 2, 2014)
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12 26.57 0.00 9 75
 
 
24
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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47 23.89 0.00 29 85
 
 
25
Do Online Mental Health Services Improve Help-Seeking for Young People? A Systematic Review
Sylvia Deidre Kauer, Cheryl Mangan, Lena Sanci
J Med Internet Res 2014;16(3):e66
(Mar 4, 2014)
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32 23.07 0.00 23 95
 
 
26
Web-Based Intervention in Mindfulness Meditation for Reducing Residual Depressive Symptoms and Relapse Prophylaxis: A Qualitative Study
Jennifer M Boggs, Arne Beck, Jennifer N Felder, Sona Dimidjian, Christina A Metcalf, Zindel V Segal
J Med Internet Res 2014;16(3):e87
(Mar 24, 2014)
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15 20.22 0.00 13 90
 
 
27
Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study
Marco Kalz, Niklas Lenssen, Marc Felzen, Rolf Rossaint, Bernardo Tabuenca, Marcus Specht, Max Skorning
J Med Internet Res 2014;16(3):e89
(Mar 19, 2014)
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18 19.93 0.00 14 95
 
 
28
Acceptability of Online Self-Help to People With Depression: Users’ Views of MoodGYM Versus Informational Websites
Justine Schneider, Pooria Sarrami Foroushani, Paul Grime, Graham Thornicroft
J Med Internet Res 2014;16(3):e90
(Mar 28, 2014)
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12 19.58 0.00 12 90
 
 
29
Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout
Ruth von Brachel, Katrin Hötzel, Gerrit Hirschfeld, Elizabeth Rieger, Ulrike Schmidt, Joachim Kosfelder, Tanja Hechler, Dietmar Schulte, Silja Vocks
J Med Internet Res 2014;16(3):e92
(Mar 31, 2014)
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10 19.38 0.00 10 75
 
 
30
Did You Hear the One About the Doctor? An Examination of Doctor Jokes Posted on Facebook
Matthew A Davis, Carol Sue Haney, William B Weeks, Brenda E Sirovich, Denise L Anthony
J Med Internet Res 2014;16(2):e41
(Feb 13, 2014)
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36 18.00 0.00 13 75
 
 
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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.