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Mendeley readers
| Chapter title |
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
|
|---|---|
| Chapter number | 10 |
| Book title |
Wearable Electronics Sensors
|
| Published by |
Springer International Publishing, January 2015
|
| DOI | 10.1007/978-3-319-18191-2_10 |
| Book ISBNs |
978-3-31-918190-5, 978-3-31-918191-2
|
| Authors |
Marco A. F. Pimentel, Peter H. Charlton, David A. Clifton, Pimentel, Marco A. F., Charlton, Peter H., Clifton, David A. |
| Editors |
Subhas C. Mukhopadhyay |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 77 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Student > Master | 14 | 18% |
| Researcher | 12 | 15% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 6 | 8% |
| Unknown | 23 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 32 | 41% |
| Computer Science | 12 | 15% |
| Mathematics | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 23 | 29% |