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.
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Mendeley readers
| Title |
Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding
|
|---|---|
| Published in |
Frontiers in Neural Circuits, March 2019
|
| DOI | 10.3389/fncir.2019.00013 |
| Pubmed ID | |
| Authors |
Yanbo Lian, David B. Grayden, Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 6 | 19% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 3 | 9% |
| Other | 6 | 19% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 38% |
| Computer Science | 6 | 19% |
| Engineering | 4 | 13% |
| Agricultural and Biological Sciences | 3 | 9% |
| Chemistry | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 2 | 6% |