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Mendeley readers
| Chapter title |
A Hybrid Machine Learning Approach for the Prediction of Grades in Computer Engineering Students
|
|---|---|
| Chapter number | 13 |
| Book title |
Research & Innovation Forum 2019
|
| Published by |
Springer, Cham, April 2019
|
| DOI | 10.1007/978-3-030-30809-4_13 |
| Book ISBNs |
978-3-03-030808-7, 978-3-03-030809-4
|
| Authors |
Diego Buenaño-Fernandez, Sergio Luján-Mora, David Gil, Buenaño-Fernandez, Diego, Luján-Mora, Sergio, Gil, David |
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 % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Ph. D. Student | 5 | 23% |
| Student > Doctoral Student | 3 | 14% |
| Student > Master | 2 | 9% |
| Lecturer | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 59% |
| Engineering | 2 | 9% |
| Nursing and Health Professions | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 14% |