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Mendeley readers
Chapter title |
Learning Style Identification by CHAEA Junior Questionnaire and Artificial Neural Network Method: A Case Study
|
---|---|
Chapter number | 30 |
Book title |
Advances in Emerging Trends and Technologies
|
Published by |
Springer, Cham, March 2019
|
DOI | 10.1007/978-3-030-32033-1_30 |
Book ISBNs |
978-3-03-032032-4, 978-3-03-032033-1
|
Authors |
Richard Torres-Molina, Lorena Guachi-Guachi, Robinson Guachi, Perri Stefania, Francisco Ortega-Zamorano, Torres-Molina, Richard, Guachi-Guachi, Lorena, Guachi, Robinson, Stefania, Perri, Ortega-Zamorano, Francisco |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 16% |
Lecturer > Senior Lecturer | 2 | 11% |
Researcher | 2 | 11% |
Professor | 1 | 5% |
Other | 1 | 5% |
Other | 2 | 11% |
Unknown | 8 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 42% |
Mathematics | 2 | 11% |
Social Sciences | 1 | 5% |
Unknown | 8 | 42% |