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Mendeley readers
Chapter title |
Model for Predicting Academic Performance Through Artificial Intelligence
|
---|---|
Chapter number | 41 |
Book title |
Computational Methods and Data Engineering
|
Published by |
Springer, Singapore, January 2021
|
DOI | 10.1007/978-981-15-6876-3_41 |
Book ISBNs |
978-9-81-156875-6, 978-9-81-156876-3
|
Authors |
Jesus Silva, Ligia Romero, Darwin Solano, Claudia Fernandez, Omar Bonerge Pineda Lezama, Karina Rojas, Silva, Jesus, Romero, Ligia, Solano, Darwin, Fernandez, Claudia, Lezama, Omar Bonerge Pineda, Rojas, Karina |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 22% |
Lecturer | 2 | 11% |
Professor | 2 | 11% |
Student > Bachelor | 1 | 6% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 28% |
Arts and Humanities | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Social Sciences | 1 | 6% |
Other | 1 | 6% |
Unknown | 8 | 44% |