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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

29 tweeters


86 Dimensions

Readers on

106 Mendeley
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

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


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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 29%
Researcher 14 13%
Student > Master 14 13%
Student > Bachelor 10 9%
Student > Doctoral Student 4 4%
Other 14 13%
Unknown 19 18%
Readers by discipline Count As %
Neuroscience 30 28%
Psychology 11 10%
Sports and Recreations 8 8%
Engineering 7 7%
Agricultural and Biological Sciences 5 5%
Other 16 15%
Unknown 29 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 January 2022.
All research outputs
of 21,514,875 outputs
Outputs from Communications Biology
of 3,376 outputs
Outputs of similar age
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Outputs of similar age from Communications Biology
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Altmetric has tracked 21,514,875 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 3,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.7. 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 299,325 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