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Mendeley readers
Chapter title |
Computational Tool to Support the Process of Teaching and Learning in the Discipline of Artificial Intelligence
|
---|---|
Chapter number | 75 |
Book title |
Cross Reality and Data Science in Engineering
|
Published by |
Springer, Cham, February 2020
|
DOI | 10.1007/978-3-030-52575-0_75 |
Book ISBNs |
978-3-03-052574-3, 978-3-03-052575-0
|
Authors |
Bienvenido Hanley Roque Orfe, Maidelis Milanés Luque, Yunia Reyes González, Natalia Martínez Sánchez, Wilber Luna Jiménez, Madelin Haro Perez, Roque Orfe, Bienvenido Hanley, Milanés Luque, Maidelis, Reyes González, Yunia, Martínez Sánchez, Natalia, Luna Jiménez, Wilber, Haro Perez, Madelin |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Lecturer | 1 | 9% |
Professor | 1 | 9% |
Student > Postgraduate | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 18% |
Business, Management and Accounting | 1 | 9% |
Psychology | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Engineering | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |