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X Demographics
Mendeley readers
Title |
Neural Engineering
|
---|---|
Published by |
Springer Science & Business Media, January 2013
|
DOI | 10.1007/978-1-4614-5227-0 |
ISBNs |
978-1-4614-5227-0, 978-1-4614-5226-3
|
Editors |
He, Bin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Malaysia | 1 | <1% |
Ireland | 1 | <1% |
France | 1 | <1% |
Singapore | 1 | <1% |
Austria | 1 | <1% |
Unknown | 176 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 50 | 27% |
Student > Master | 37 | 20% |
Student > Bachelor | 24 | 13% |
Researcher | 19 | 10% |
Professor | 11 | 6% |
Other | 31 | 17% |
Unknown | 12 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 87 | 47% |
Neuroscience | 17 | 9% |
Computer Science | 16 | 9% |
Agricultural and Biological Sciences | 13 | 7% |
Medicine and Dentistry | 5 | 3% |
Other | 27 | 15% |
Unknown | 19 | 10% |