You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
Deep Learning Approaches for Automated Seizure Detection from Scalp Electroencephalograms
|
|---|---|
| Chapter number | 8 |
| Book title |
Signal Processing in Medicine and Biology
|
| Published by |
Springer, Cham, March 2020
|
| DOI | 10.1007/978-3-030-36844-9_8 |
| Book ISBNs |
978-3-03-036843-2, 978-3-03-036844-9
|
| Authors |
Meysam Golmohammadi, Vinit Shah, Iyad Obeid, Joseph Picone, Golmohammadi, Meysam, Shah, Vinit, Obeid, Iyad, Picone, Joseph |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 14% |
| Engineering | 3 | 14% |
| Neuroscience | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Unknown | 13 | 62% |