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Mendeley readers
Chapter title |
Predicting Triage Waiting Time in Maternity Emergency Care by Means of Data Mining
|
---|---|
Chapter number | 60 |
Book title |
New Advances in Information Systems and Technologies
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-31307-8_60 |
Book ISBNs |
978-3-31-931306-1, 978-3-31-931307-8
|
Authors |
Sónia Pereira, Luís Torres, Filipe Portela, Manuel F. Santos, José Machado, António Abelha |
Editors |
Álvaro Rocha, Ana Maria Correia, Hojjat Adeli, Luis Paulo Reis, Marcelo Mendonça Teixeira |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 23% |
Student > Ph. D. Student | 4 | 18% |
Researcher | 3 | 14% |
Student > Bachelor | 2 | 9% |
Lecturer | 1 | 5% |
Other | 2 | 9% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 41% |
Engineering | 4 | 18% |
Medicine and Dentistry | 2 | 9% |
Agricultural and Biological Sciences | 1 | 5% |
Mathematics | 1 | 5% |
Other | 1 | 5% |
Unknown | 4 | 18% |