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Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
383 Mendeley
citeulike
4 CiteULike
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Title
Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses
Published in
Frontiers in Computational Neuroscience, January 2010
DOI 10.3389/fncom.2010.00024
Pubmed ID
Authors

Mattia Rigotti, Daniel Ben Dayan Rubin, Xiao-Jing Wang, Stefano Fusi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 9 2%
United States 9 2%
Germany 5 1%
Switzerland 5 1%
France 4 1%
Netherlands 2 <1%
Canada 2 <1%
Israel 1 <1%
Finland 1 <1%
Other 8 2%
Unknown 337 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 135 35%
Researcher 96 25%
Student > Master 31 8%
Professor 23 6%
Student > Bachelor 20 5%
Other 40 10%
Unknown 38 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 25%
Neuroscience 88 23%
Psychology 37 10%
Computer Science 37 10%
Engineering 18 5%
Other 61 16%
Unknown 46 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 May 2016.
All research outputs
#6,975,501
of 22,870,727 outputs
Outputs from Frontiers in Computational Neuroscience
#373
of 1,345 outputs
Outputs of similar age
#45,675
of 164,120 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 14 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 164,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.