The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Other | 3 | 7% |
| Researcher | 3 | 7% |
| Professor | 2 | 4% |
| Other | 11 | 24% |
| Unknown | 17 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 17% |
| Unspecified | 2 | 4% |
| Environmental Science | 2 | 4% |
| Chemistry | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 21 | 46% |