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Mendeley readers
Chapter title |
A Data Mining Approach for Predicting Academic Success – A Case Study
|
---|---|
Chapter number | 5 |
Book title |
Explorations in Technology Education Research
|
Published by |
Springer, Cham, January 2019
|
DOI | 10.1007/978-3-030-11890-7_5 |
Book ISBNs |
978-9-81-133009-4, 978-9-81-133010-0, 978-3-03-011889-1, 978-3-03-011890-7
|
Authors |
Maria P. G. Martins, Vera L. Miguéis, D. S. B. Fonseca, Albano Alves, Martins, Maria P. G., Miguéis, Vera L., Fonseca, D. S. B., Alves, Albano |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 12% |
Student > Bachelor | 6 | 12% |
Student > Doctoral Student | 5 | 10% |
Student > Master | 5 | 10% |
Lecturer | 4 | 8% |
Other | 8 | 16% |
Unknown | 16 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 26% |
Social Sciences | 4 | 8% |
Engineering | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Psychology | 2 | 4% |
Other | 7 | 14% |
Unknown | 19 | 38% |