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Mendeley readers
Chapter title |
Educational Data Mining: A Review and Analysis of Student’s Academic Performance
|
---|---|
Chapter number | 44 |
Book title |
Intelligent Technologies and Applications
|
Published by |
Springer, Singapore, May 2020
|
DOI | 10.1007/978-981-15-5232-8_44 |
Book ISBNs |
978-9-81-155231-1, 978-9-81-155232-8
|
Authors |
Sadia Ijaz, Tauqeer Safdar, Muhammad Sanaullah |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 13% |
Lecturer | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Researcher | 2 | 7% |
Other | 3 | 10% |
Unknown | 13 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 4 | 13% |
Computer Science | 4 | 13% |
Engineering | 2 | 7% |
Business, Management and Accounting | 1 | 3% |
Psychology | 1 | 3% |
Other | 5 | 17% |
Unknown | 13 | 43% |