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
| Title |
Simulation and Prediction for a Satellite Temperature Sensors Based on Artificial Neural Network
|
|---|---|
| Published in |
Journal of Aerospace Technology and Management, August 2019
|
| DOI | 10.5028/jatm.v11.1055 |
| Authors |
Hamdy Soltan Abdelkhalek, Haitham Medhat, Ibrahim Ziedan, Mohamed Amal |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 23% |
| Student > Bachelor | 2 | 15% |
| Student > Master | 2 | 15% |
| Lecturer | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 46% |
| Chemical Engineering | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unspecified | 1 | 8% |
| Unknown | 4 | 31% |