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Mendeley readers
| Title |
Using machine learning methods to predict dry matter intake from milk mid-infrared spectroscopy data on Swedish dairy cattle
|
|---|---|
| Published in |
Journal of Dairy Research, March 2023
|
| DOI | 10.1017/s0022029923000171 |
| Pubmed ID | |
| Authors |
Suraya Mohamad Salleh, Rebecca Danielsson, Cecilia Kronqvist |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 19% |
| Researcher | 2 | 13% |
| Professor | 1 | 6% |
| Unknown | 10 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 19% |
| Agricultural and Biological Sciences | 3 | 19% |
| Unknown | 10 | 63% |