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X Demographics
Mendeley readers
| Chapter title |
EEG-Based Brain-Computer Interfaces
|
|---|---|
| Chapter number | 2 |
| Book title |
Neural Interface: Frontiers and Applications
|
| Published by |
Springer, Singapore, January 2019
|
| DOI | 10.1007/978-981-13-2050-7_2 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-132049-1, 978-9-81-132050-7
|
| Authors |
Wang, Yijun, Nakanishi, Masaki, Zhang, Dan, Yijun Wang, Masaki Nakanishi, Dan Zhang |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Italy | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| Colombia | 2 | <1% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Australia | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 218 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 44 | 19% |
| Researcher | 32 | 14% |
| Student > Ph. D. Student | 32 | 14% |
| Student > Bachelor | 26 | 11% |
| Professor > Associate Professor | 14 | 6% |
| Other | 38 | 16% |
| Unknown | 46 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 57 | 25% |
| Computer Science | 52 | 22% |
| Neuroscience | 22 | 9% |
| Psychology | 17 | 7% |
| Agricultural and Biological Sciences | 8 | 3% |
| Other | 19 | 8% |
| Unknown | 57 | 25% |