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Invariant errors reveal limitations in motor correction rather than constraints on error sensitivity

Overview of attention for article published in Communications Biology, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

twitter
29 tweeters

Citations

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67 Dimensions

Readers on

mendeley
87 Mendeley
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Title
Invariant errors reveal limitations in motor correction rather than constraints on error sensitivity
Published in
Communications Biology, March 2018
DOI 10.1038/s42003-018-0021-y
Pubmed ID
Authors

Hyosub E. Kim, J. Ryan Morehead, Darius E. Parvin, Reza Moazzezi, Richard B. Ivry

Abstract

Implicit sensorimotor adaptation is traditionally described as a process of error reduction, whereby a fraction of the error is corrected for with each movement. Here, in our study of healthy human participants, we characterize two constraints on this learning process: the size of adaptive corrections is only related to error size when errors are smaller than 6°, and learning functions converge to a similar level of asymptotic learning over a wide range of error sizes. These findings are problematic for current models of sensorimotor adaptation, and point to a new theoretical perspective in which learning is constrained by the size of the error correction, rather than sensitivity to error.

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 31%
Student > Master 12 14%
Student > Bachelor 11 13%
Researcher 9 10%
Professor 4 5%
Other 10 11%
Unknown 14 16%
Readers by discipline Count As %
Neuroscience 26 30%
Psychology 10 11%
Sports and Recreations 8 9%
Engineering 8 9%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 12 14%
Unknown 21 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 06 December 2018.
All research outputs
#1,166,319
of 16,493,826 outputs
Outputs from Communications Biology
#415
of 1,421 outputs
Outputs of similar age
#34,363
of 284,148 outputs
Outputs of similar age from Communications Biology
#1
of 1 outputs
Altmetric has tracked 16,493,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.8. This one has gotten more attention than average, scoring higher than 70% 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 284,148 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them