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 |
Non-invasive Calibration-Free Blood Pressure Estimation Based on Artificial Neural Network
|
---|---|
Chapter number | 69 |
Book title |
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)
|
Published by |
Springer, Cham, March 2019
|
DOI | 10.1007/978-3-030-14118-9_69 |
Book ISBNs |
978-3-03-014117-2, 978-3-03-014118-9
|
Authors |
Nashat Maher, G. A. Elsheikh, Wagdy R. Anis, Tamer Emara, Maher, Nashat, Elsheikh, G. A., Anis, Wagdy R., Emara, Tamer |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 18% |
Student > Ph. D. Student | 2 | 12% |
Student > Bachelor | 2 | 12% |
Student > Master | 2 | 12% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 29% |
Computer Science | 2 | 12% |
Unspecified | 1 | 6% |
Neuroscience | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 0 | 0% |
Unknown | 7 | 41% |