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X Demographics
Mendeley readers
Chapter title |
Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013
|
---|---|
Chapter number | 1 |
Book title |
Advances in Hybridization of Intelligent Methods
|
Published by |
Springer, Cham, January 2018
|
DOI | 10.1007/978-3-319-66790-4_1 |
Book ISBNs |
978-3-31-966789-8, 978-3-31-966790-4
|
Authors |
Panagiotis Giannopoulos, Isidoros Perikos, Ioannis Hatzilygeroudis |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 85 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 10 | 12% |
Student > Master | 8 | 9% |
Student > Ph. D. Student | 8 | 9% |
Researcher | 6 | 7% |
Student > Doctoral Student | 3 | 4% |
Other | 8 | 9% |
Unknown | 42 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 29% |
Engineering | 11 | 13% |
Design | 3 | 4% |
Psychology | 2 | 2% |
Environmental Science | 1 | 1% |
Other | 2 | 2% |
Unknown | 41 | 48% |