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% |