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X Demographics
Mendeley readers
Title |
Neural Engineering
|
---|---|
Published by |
Springer International Publishing, July 2020
|
DOI | 10.1007/978-3-030-43395-6 |
ISBNs |
978-3-03-043394-9, 978-3-03-043395-6
|
Editors |
He, Bin |
X Demographics
The data shown below were collected from the profiles of 9 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 | 22% |
Japan | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Greece | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 19% |
Student > Ph. D. Student | 5 | 14% |
Other | 1 | 3% |
Lecturer | 1 | 3% |
Professor | 1 | 3% |
Other | 3 | 8% |
Unknown | 18 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 28% |
Computer Science | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Other | 3 | 8% |
Unknown | 18 | 50% |