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Mendeley readers
Chapter title |
Using Data-Mining Techniques for the Prediction of the Severity of Road Crashes in Cartagena, Colombia
|
---|---|
Chapter number | 27 |
Book title |
Applied Computer Sciences in Engineering
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-31019-6_27 |
Book ISBNs |
978-3-03-031018-9, 978-3-03-031019-6
|
Authors |
Holman Ospina-Mateus, Leonardo Augusto Quintana Jiménez, Francisco José López-Valdés, Natalie Morales-Londoño, Katherinne Salas-Navarro, Ospina-Mateus, Holman, Quintana Jiménez, Leonardo Augusto, López-Valdés, Francisco José, Morales-Londoño, Natalie, Salas-Navarro, Katherinne |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 14% |
Student > Master | 4 | 11% |
Lecturer | 2 | 5% |
Student > Bachelor | 2 | 5% |
Professor > Associate Professor | 2 | 5% |
Other | 7 | 19% |
Unknown | 15 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 22% |
Mathematics | 2 | 5% |
Computer Science | 2 | 5% |
Energy | 2 | 5% |
Business, Management and Accounting | 1 | 3% |
Other | 4 | 11% |
Unknown | 18 | 49% |