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 |
Optimised neural network model for river-nitrogen prediction utilizing a new training approach
|
|---|---|
| Published in |
PLOS ONE, September 2020
|
| DOI | 10.1371/journal.pone.0239509 |
| Pubmed ID | |
| Authors |
Pavitra Kumar, Sai Hin Lai, Nuruol Syuhadaa Mohd, Rowshon Kamal, Haitham Abdulmohsin Afan, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr, Ahmed El-shafie |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 5 | 12% |
| Other | 3 | 7% |
| Researcher | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 15 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 19% |
| Environmental Science | 2 | 5% |
| Chemistry | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Earth and Planetary Sciences | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 19 | 45% |