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X Demographics
Mendeley readers
Title |
MATLAB Deep Learning
|
---|---|
Published by |
Apress, June 2017
|
DOI | 10.1007/978-1-4842-2845-6 |
ISBNs |
978-1-4842-2845-6, 978-1-4842-2844-9
|
Authors |
Phil Kim, Kim, Phil |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
United Kingdom | 2 | 25% |
Canada | 1 | 13% |
Nigeria | 1 | 13% |
Morocco | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 88% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1100 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 181 | 16% |
Student > Ph. D. Student | 160 | 15% |
Student > Bachelor | 85 | 8% |
Researcher | 74 | 7% |
Student > Doctoral Student | 51 | 5% |
Other | 166 | 15% |
Unknown | 383 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 332 | 30% |
Computer Science | 158 | 14% |
Physics and Astronomy | 30 | 3% |
Agricultural and Biological Sciences | 23 | 2% |
Medicine and Dentistry | 15 | 1% |
Other | 125 | 11% |
Unknown | 417 | 38% |