| Title |
Determinants of Brain Cell Metabolic Phenotypes and Energy Substrate Utilization Unraveled with a Modeling Approach
|
|---|---|
| Published in |
PLoS Computational Biology, September 2012
|
| DOI | 10.1371/journal.pcbi.1002686 |
| Pubmed ID | |
| Authors |
Aitana Neves, Robert Costalat, Luc Pellerin |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 30 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 34% |
| Student > Ph. D. Student | 8 | 25% |
| Professor | 3 | 9% |
| Student > Master | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 34% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Neuroscience | 3 | 9% |
| Physics and Astronomy | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 6 | 19% |