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Mendeley readers
Chapter title |
Using Collaborative Filtering Algorithms for Predicting Student Performance
|
---|---|
Chapter number | 15 |
Book title |
Electronic Government and the Information Systems Perspective
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-44159-7_15 |
Book ISBNs |
978-3-31-944158-0, 978-3-31-944159-7
|
Authors |
Juan Manuel Adán-Coello, Carlos Miguel Tobar |
Editors |
Andrea Kő, Enrico Francesconi |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 107 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 17% |
Researcher | 15 | 14% |
Student > Doctoral Student | 13 | 12% |
Student > Master | 10 | 9% |
Professor | 4 | 4% |
Other | 15 | 14% |
Unknown | 32 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 21% |
Social Sciences | 17 | 16% |
Business, Management and Accounting | 14 | 13% |
Arts and Humanities | 3 | 3% |
Economics, Econometrics and Finance | 2 | 2% |
Other | 10 | 9% |
Unknown | 38 | 36% |