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Mendeley readers
| Chapter title |
FPGA Based Smart System for Non Invasive Blood Glucose Sensing Using Photoplethysmography and Online Correction of Motion Artifact
|
|---|---|
| Chapter number | 1 |
| Book title |
Sensors for Everyday Life
|
| Published by |
Springer International Publishing, October 2016
|
| DOI | 10.1007/978-3-319-47319-2_1 |
| Book ISBNs |
978-3-31-947318-5, 978-3-31-947319-2
|
| Authors |
Swathi Ramasahayam, Lavanya Arora, Shubhajit Roy Chowdhury |
| Editors |
Octavian Adrian Postolache, Subhas Chandra Mukhopadhyay, Krishanthi P. Jayasundera, Akshya K. Swain |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Student > Ph. D. Student | 4 | 15% |
| Researcher | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 33% |
| Computer Science | 5 | 19% |
| Agricultural and Biological Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Design | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 37% |