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X Demographics
Mendeley readers
| Chapter title |
Predicting Academic Performance in Mathematics Using Machine Learning Algorithms
|
|---|---|
| Chapter number | 2 |
| Book title |
Technologies and Innovation
|
| Published by |
Springer, Cham, January 2022
|
| DOI | 10.1007/978-3-031-19961-5_2 |
| Book ISBNs |
978-3-03-119960-8, 978-3-03-119961-5
|
| Authors |
Espinosa-Pinos, Carlos Alberto, Ayala-Chauvín, Ignacio, Buele, Jorge |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Researcher | 1 | 10% |
| Lecturer | 1 | 10% |
| Lecturer > Senior Lecturer | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 5 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 30% |
| Unspecified | 1 | 10% |
| Unknown | 6 | 60% |