| Title |
Why is Real-World Visual Object Recognition Hard?
|
|---|---|
| Published in |
PLoS Computational Biology, January 2008
|
| DOI | 10.1371/journal.pcbi.0040027 |
| Pubmed ID | |
| Authors |
Nicolas Pinto, David D Cox, James J DiCarlo |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Switzerland | 1 | 14% |
| Canada | 1 | 14% |
| Austria | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 770 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 35 | 5% |
| Germany | 15 | 2% |
| France | 8 | 1% |
| Switzerland | 7 | <1% |
| United Kingdom | 5 | <1% |
| China | 4 | <1% |
| Spain | 4 | <1% |
| Italy | 4 | <1% |
| Canada | 4 | <1% |
| Other | 18 | 2% |
| Unknown | 666 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 224 | 29% |
| Researcher | 131 | 17% |
| Student > Master | 127 | 16% |
| Student > Bachelor | 58 | 8% |
| Professor > Associate Professor | 35 | 5% |
| Other | 118 | 15% |
| Unknown | 77 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 311 | 40% |
| Engineering | 98 | 13% |
| Psychology | 69 | 9% |
| Agricultural and Biological Sciences | 60 | 8% |
| Neuroscience | 55 | 7% |
| Other | 82 | 11% |
| Unknown | 95 | 12% |