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Mendeley readers
| Title |
Dynamic QTL-based ecophysiological models to predict phenotype from genotype and environment data
|
|---|---|
| Published in |
BMC Plant Biology, June 2022
|
| DOI | 10.1186/s12870-022-03624-7 |
| Pubmed ID | |
| Authors |
C. Eduardo Vallejos, James W. Jones, Mehul S. Bhakta, Salvador A. Gezan, Melanie J. Correll |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Ph. D. Student | 3 | 16% |
| Student > Doctoral Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 42% |
| Computer Science | 2 | 11% |
| Business, Management and Accounting | 1 | 5% |
| Environmental Science | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 26% |