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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% |