You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Machine Learning Model for Triage in Lean Pediatric Emergency Departments
|
---|---|
Chapter number | 18 |
Book title |
Advances in Artificial Intelligence - IBERAMIA 2016
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-47955-2_18 |
Book ISBNs |
978-3-31-947954-5, 978-3-31-947955-2
|
Authors |
William Caicedo-Torres, Gisela García, Hernando Pinzón |
Editors |
Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 20% |
Student > Ph. D. Student | 6 | 15% |
Student > Bachelor | 5 | 13% |
Student > Master | 4 | 10% |
Professor | 3 | 8% |
Other | 5 | 13% |
Unknown | 9 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 9 | 23% |
Computer Science | 6 | 15% |
Medicine and Dentistry | 5 | 13% |
Unspecified | 2 | 5% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 6 | 15% |
Unknown | 11 | 28% |