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A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing

Overview of attention for article published in Frontiers in Psychology, July 2014
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1 X user

Citations

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Readers on

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35 Mendeley
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Title
A computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing
Published in
Frontiers in Psychology, July 2014
DOI 10.3389/fpsyg.2014.00643
Pubmed ID
Authors

Vivian V. Valentin, W. Todd Maddox, F. Gregory Ashby

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

Geographical breakdown

Country Count As %
United States 3 9%
Switzerland 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Researcher 7 20%
Student > Master 5 14%
Student > Postgraduate 4 11%
Professor > Associate Professor 2 6%
Other 5 14%
Unknown 1 3%
Readers by discipline Count As %
Psychology 13 37%
Agricultural and Biological Sciences 5 14%
Neuroscience 5 14%
Engineering 2 6%
Sports and Recreations 2 6%
Other 3 9%
Unknown 5 14%
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 21 February 2017.
All research outputs
#18,534,624
of 22,955,959 outputs
Outputs from Frontiers in Psychology
#22,374
of 30,107 outputs
Outputs of similar age
#163,990
of 228,225 outputs
Outputs of similar age from Frontiers in Psychology
#346
of 397 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,107 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 19th percentile – i.e., 19% 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 228,225 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 397 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.