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A Neurophysiologically Plausible Population Code Model for Feature Integration Explains Visual Crowding

Overview of attention for article published in PLoS Computational Biology, January 2010
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
117 Mendeley
citeulike
1 CiteULike
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Title
A Neurophysiologically Plausible Population Code Model for Feature Integration Explains Visual Crowding
Published in
PLoS Computational Biology, January 2010
DOI 10.1371/journal.pcbi.1000646
Pubmed ID
Authors

Ronald van den Berg, Jos B. T. M. Roerdink, Frans W. Cornelissen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Germany 5 4%
United Kingdom 4 3%
Switzerland 3 3%
Australia 1 <1%
Turkey 1 <1%
China 1 <1%
France 1 <1%
Unknown 95 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 26%
Researcher 28 24%
Student > Master 19 16%
Student > Bachelor 12 10%
Professor 7 6%
Other 17 15%
Unknown 4 3%
Readers by discipline Count As %
Psychology 45 38%
Agricultural and Biological Sciences 20 17%
Neuroscience 15 13%
Computer Science 11 9%
Medicine and Dentistry 7 6%
Other 12 10%
Unknown 7 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 June 2019.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#5,639
of 8,964 outputs
Outputs of similar age
#51,201
of 172,538 outputs
Outputs of similar age from PLoS Computational Biology
#37
of 61 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% 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 172,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.