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Mendeley readers
Chapter title |
Mining Educational Data to Predict Students’ Academic Performance
|
---|---|
Chapter number | 28 |
Book title |
Machine Learning and Data Mining in Pattern Recognition
|
Published by |
Springer, Cham, July 2015
|
DOI | 10.1007/978-3-319-21024-7_28 |
Book ISBNs |
978-3-31-921023-0, 978-3-31-921024-7
|
Authors |
Mona Al-Saleem, Norah Al-Kathiry, Sara Al-Osimi, Ghada Badr |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 109 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 19% |
Student > Ph. D. Student | 16 | 15% |
Student > Bachelor | 13 | 12% |
Lecturer | 12 | 11% |
Student > Doctoral Student | 7 | 6% |
Other | 18 | 17% |
Unknown | 22 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 58 | 53% |
Engineering | 7 | 6% |
Mathematics | 6 | 6% |
Social Sciences | 6 | 6% |
Business, Management and Accounting | 2 | 2% |
Other | 7 | 6% |
Unknown | 23 | 21% |