Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
21
Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities
Nebeyou A Abebe, Korey L Capozza, Terrisca R Des Jardins, David A Kulick, Alison L Rein, Abigail A Schachter, Scott A Turske
J Med Internet Res 2013;15(10):e221
(Oct 15, 2013)
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14 2.33 28.00 28 90
 
 
22
MomMoodBooster Web-Based Intervention for Postpartum Depression: Feasibility Trial Results
Brian G Danaher, Jeannette Milgrom, John R Seeley, Scott Stuart, Charlene Schembri, Milagra S Tyler, Jennifer Ericksen, Whitney Lester, Alan W Gemmill, Derek B Kosty, Peter Lewinsohn
J Med Internet Res 2013;15(11):e242
(Nov 4, 2013)
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13 2.46 28.00 11 65
 
 
23
The Good, Bad, and Ugly of Online Recruitment of Parents for Health-Related Focus Groups: Lessons Learned
Susan Quach, Jennifer A Pereira, Margaret L Russell, Anne E Wormsbecker, Hilary Ramsay, Lois Crowe, Sherman D Quan, Jeff Kwong
J Med Internet Res 2013;15(11):e250
(Nov 14, 2013)
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13 2.62 28.00 12 75
 
 
24
Evaluating a Web-Based Health Risk Assessment With Tailored Feedback: What Does an Expert Focus Group Yield Compared to a Web-Based End-User Survey?
Sandra Vosbergen, Guy R Mahieu, Eva K Laan, Roderik A Kraaijenhagen, Monique WM Jaspers, Niels Peek
J Med Internet Res 2014;16(1):e1
(Jan 2, 2014)
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10 2.95 28.00 9 55
 
 
25
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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22 3.67 27.00 101 100
 
 
26
Internet and Social Media For Health-Related Information and Communication in Health Care: Preferences of the Dutch General Population
Tom H Van de Belt, Lucien JLPG Engelen, Sivera AA Berben, Steven Teerenstra, Melvin Samsom, Lisette Schoonhoven
J Med Internet Res 2013;15(10):e220
(Oct 2, 2013)
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21 3.50 27.00 22 90
 
 
27
Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study
Ni Zhang, Shelly Campo, Kathleen F Janz, Petya Eckler, Jingzhen Yang, Linda G Snetselaar, Alessio Signorini
J Med Internet Res 2013;15(11):e261
(Nov 20, 2013)
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13 2.72 27.00 11 60
 
 
28
Comparing In-Person to Videoconference-Based Cognitive Behavioral Therapy for Mood and Anxiety Disorders: Randomized Controlled Trial
Daniel R Stubbings, Clare S Rees, Lynne D Roberts, Robert T Kane
J Med Internet Res 2013;15(11):e258
(Nov 19, 2013)
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39 8.11 25.00 39 100
 
 
29
Patients’ Reported Reasons for Non-Use of an Internet-Based Patient-Provider Communication Service: Qualitative Interview Study
Cecilie Varsi, Deede Gammon, Torunn Wibe, Cornelia M Ruland
J Med Internet Res 2013;15(11):e246
(Nov 11, 2013)
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18 3.55 25.00 15 80
 
 
30
The Complex Relationship of Realspace Events and Messages in Cyberspace: Case Study of Influenza and Pertussis Using Tweets
Anna C Nagel, Ming-Hsiang Tsou, Brian H Spitzberg, Li An, J Mark Gawron, Dipak K Gupta, Jiue-An Yang, Su Han, K Michael Peddecord, Suzanne Lindsay, Mark H Sawyer
J Med Internet Res 2013;15(10):e237
(Oct 24, 2013)
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22 3.90 24.00 12 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.