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Coordinate transformation approach to social interactions

Overview of attention for article published in Frontiers in Neuroscience, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Citations

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27 Dimensions

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60 Mendeley
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Title
Coordinate transformation approach to social interactions
Published in
Frontiers in Neuroscience, January 2013
DOI 10.3389/fnins.2013.00147
Pubmed ID
Authors

Steve W. C. Chang

Abstract

A coordinate transformation framework for understanding how neurons compute sensorimotor behaviors has generated significant advances toward our understanding of basic brain function. This influential scaffold focuses on neuronal encoding of spatial information represented in different coordinate systems (e.g., eye-centered, hand-centered) and how multiple brain regions partake in transforming these signals in order to ultimately generate a motor output. A powerful analogy can be drawn from the coordinate transformation framework to better elucidate how the nervous system computes cognitive variables for social behavior. Of particular relevance is how the brain represents information with respect to oneself and other individuals, such as in reward outcome assignment during social exchanges, in order to influence social decisions. In this article, I outline how the coordinate transformation framework can help guide our understanding of neural computations resulting in social interactions. Implications for numerous psychiatric disorders with impaired representations of self and others are also discussed.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Belgium 1 2%
Sweden 1 2%
China 1 2%
Romania 1 2%
Unknown 54 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 12 20%
Student > Master 7 12%
Student > Doctoral Student 6 10%
Student > Bachelor 4 7%
Other 8 13%
Unknown 10 17%
Readers by discipline Count As %
Psychology 20 33%
Neuroscience 10 17%
Agricultural and Biological Sciences 6 10%
Social Sciences 5 8%
Computer Science 2 3%
Other 6 10%
Unknown 11 18%
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 14 October 2013.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#5,873
of 11,541 outputs
Outputs of similar age
#166,423
of 289,004 outputs
Outputs of similar age from Frontiers in Neuroscience
#120
of 246 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 48th percentile – i.e., 48% 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 289,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 246 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 51% of its contemporaries.