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Mendeley readers
Chapter title |
Detection of Desertion Patterns in University Students Using Data Mining Techniques: A Case Study
|
---|---|
Chapter number | 31 |
Book title |
Technology Trends
|
Published by |
Springer, Cham, December 2018
|
DOI | 10.1007/978-3-030-05532-5_31 |
Book ISBNs |
978-3-03-005531-8, 978-3-03-005532-5
|
Authors |
Dayana Vila, Saúl Cisneros, Pedro Granda, Cosme Ortega, Miguel Posso-Yépez, Iván García-Santillán |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 8 | 14% |
Researcher | 7 | 12% |
Student > Master | 6 | 10% |
Professor | 4 | 7% |
Student > Doctoral Student | 4 | 7% |
Other | 13 | 22% |
Unknown | 17 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 17% |
Computer Science | 9 | 15% |
Social Sciences | 8 | 14% |
Business, Management and Accounting | 5 | 8% |
Economics, Econometrics and Finance | 2 | 3% |
Other | 6 | 10% |
Unknown | 19 | 32% |