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Attention Score in Context
Title |
Global perception in small brains: Topological pattern recognition in honey bees
|
---|---|
Published in |
Proceedings of the National Academy of Sciences of the United States of America, May 2003
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DOI | 10.1073/pnas.0732090100 |
Pubmed ID | |
Authors |
Lin Chen, Shaowu Zhang, Mandyam V. Srinivasan |
Abstract |
A series of experiments with honey bees demonstrate that their small brains nevertheless possess the ability for topological perception. Bees rapidly learned to discriminate patterns that are topologically different, and they generalized the learned cue to other novel patterns. By contrast, discrimination of topologically equivalent patterns was learned much more slowly and not as well. Thus, although the global nature of topological properties makes their computation difficult, topology may be a fundamental component of the vocabulary by which visual systems represent and characterize objects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
Germany | 2 | 1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Colombia | 1 | <1% |
Belgium | 1 | <1% |
Korea, Republic of | 1 | <1% |
Greece | 1 | <1% |
China | 1 | <1% |
Other | 0 | 0% |
Unknown | 140 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 25% |
Researcher | 34 | 22% |
Student > Master | 16 | 10% |
Professor | 11 | 7% |
Student > Bachelor | 11 | 7% |
Other | 26 | 17% |
Unknown | 18 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 62 | 40% |
Psychology | 26 | 17% |
Neuroscience | 13 | 8% |
Computer Science | 7 | 5% |
Engineering | 4 | 3% |
Other | 19 | 12% |
Unknown | 23 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2011.
All research outputs
#16,741,542
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#91,769
of 101,438 outputs
Outputs of similar age
#47,451
of 52,531 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#445
of 500 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 52,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 500 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.