Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
1
Is Biblioleaks Inevitable?
Adam G Dunn, Enrico Coiera, Kenneth D Mandl
J Med Internet Res 2014;16(4):e112
(Apr 22, 2014)
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77 1193.80 0.00 77 100
 
 
2
Usage and Effectiveness of a Fully Automated, Open-Access, Spanish Web-Based Smoking Cessation Program: Randomized Controlled Trial
Guillermo Mañanes, Miguel A Vallejo
J Med Internet Res 2014;16(4):e111
(Apr 23, 2014)
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5 154.80 0.00 5 40
 
 
3
Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion
Ranit Mishori, Lisa Oberoi Singh, Brendan Levy, Calvin Newport
J Med Internet Res 2014;16(4):e107
(Apr 14, 2014)
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47 145.69 0.00 41 95
 
 
4
A Spanish Pillbox App for Elderly Patients Taking Multiple Medications: Randomized Controlled Trial
José Joaquín Mira, Isabel Navarro, Federico Botella, Fernando Borrás, Roberto Nuño-Solinís, Domingo Orozco, Fuencisla Iglesias-Alonso, Pastora Pérez-Pérez, Susana Lorenzo, Nuria Toro
J Med Internet Res 2014;16(4):e99
(Apr 4, 2014)
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58 89.89 0.00 51 100
 
 
5
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2011;13(4):e123
(Dec 16, 2011)
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80 80.00 0.00 529 100
 
 
6
Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study
Elina Helander, Kirsikka Kaipainen, Ilkka Korhonen, Brian Wansink
J Med Internet Res 2014;16(4):e109
(Apr 15, 2014)
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23 79.23 0.00 23 85
 
 
7
Collaborative Biomedicine in the Age of Big Data: The Case of Cancer
Abdul R Shaikh, Atul J Butte, Sheri D Schully, William S Dalton, Muin J Khoury, Bradford W Hesse
J Med Internet Res 2014;16(4):e101
(Apr 7, 2014)
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42 76.59 0.00 38 95
 
 
8
Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older
Madlen Arnhold, Mandy Quade, Wilhelm Kirch
J Med Internet Res 2014;16(4):e104
(Apr 9, 2014)
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34 70.26 0.00 22 90
 
 
9
Would You Tell Everyone This? Facebook Conversations as Health Promotion Interventions
Jonathan Syred, Carla Naidoo, Sarah C Woodhall, Paula Baraitser
J Med Internet Res 2014;16(4):e108
(Apr 11, 2014)
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20 47.69 0.00 6 50
 
 
10
Executive Functioning in Alcoholics Following an mHealth Cognitive Stimulation Program: Randomized Controlled Trial
Pedro Gamito, Jorge Oliveira, Paulo Lopes, Rodrigo Brito, Diogo Morais, Diana Silva, Ana Silva, Sara Rebelo, Marta Bastos, Alberto Deus
J Med Internet Res 2014;16(4):e102
(Apr 17, 2014)
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7 31.00 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.