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Estimating the Relevance of World Disturbances to Explain Savings, Interference and Long-Term Motor Adaptation Effects

Overview of attention for article published in PLoS Computational Biology, October 2011
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1 X user

Citations

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59 Dimensions

Readers on

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118 Mendeley
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Title
Estimating the Relevance of World Disturbances to Explain Savings, Interference and Long-Term Motor Adaptation Effects
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002210
Pubmed ID
Authors

Max Berniker, Konrad P. Kording

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Switzerland 1 <1%
France 1 <1%
Portugal 1 <1%
Israel 1 <1%
Uruguay 1 <1%
Russia 1 <1%
Belgium 1 <1%
Unknown 109 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 39%
Researcher 17 14%
Student > Master 10 8%
Professor 8 7%
Professor > Associate Professor 7 6%
Other 14 12%
Unknown 16 14%
Readers by discipline Count As %
Neuroscience 31 26%
Engineering 25 21%
Agricultural and Biological Sciences 17 14%
Psychology 14 12%
Computer Science 4 3%
Other 9 8%
Unknown 18 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 March 2018.
All research outputs
#20,817,194
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#8,249
of 9,003 outputs
Outputs of similar age
#122,551
of 146,340 outputs
Outputs of similar age from PLoS Computational Biology
#109
of 126 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,003 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 4th percentile – i.e., 4% 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 146,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.