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Mendeley readers
| Title |
SWIFTCORE: a tool for the context-specific reconstruction of genome-scale metabolic networks
|
|---|---|
| Published in |
BMC Bioinformatics, April 2020
|
| DOI | 10.1186/s12859-020-3440-y |
| Pubmed ID | |
| Authors |
Mojtaba Tefagh, Stephen P. Boyd |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Researcher | 6 | 16% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 13% |
| Computer Science | 4 | 11% |
| Social Sciences | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Mathematics | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 15 | 39% |