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Accounting for individual differences in human associative learning

Overview of attention for article published in Frontiers in Psychology, January 2013
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2 X users
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1 Google+ user

Citations

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11 Dimensions

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74 Mendeley
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Title
Accounting for individual differences in human associative learning
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2013.00588
Pubmed ID
Authors

Nicola C. Byrom

Abstract

Associative learning has provided fundamental insights to understanding psychopathology. However, psychopathology occurs along a continuum and as such, identification of disruptions in processes of associative learning associated with aspects of psychopathology illustrates a general flexibility in human associative learning. A handful of studies have looked specifically at individual differences in human associative learning, but while much work has concentrated on accounting for flexibility in learning caused by external factors, there has been limited work considering how to model the influence of dispositional factors. This review looks at the range of individual differences in human associative learning that have been explored and the attempts to account for, and model, this flexibility. To fully understand human associative learning, further research needs to attend to the causes of variation in human learning.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Italy 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 16 22%
Student > Bachelor 7 9%
Student > Doctoral Student 6 8%
Student > Master 6 8%
Other 11 15%
Unknown 11 15%
Readers by discipline Count As %
Psychology 37 50%
Agricultural and Biological Sciences 6 8%
Neuroscience 5 7%
Computer Science 2 3%
Linguistics 1 1%
Other 4 5%
Unknown 19 26%
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 07 August 2014.
All research outputs
#14,860,313
of 25,014,758 outputs
Outputs from Frontiers in Psychology
#14,415
of 33,794 outputs
Outputs of similar age
#171,400
of 293,166 outputs
Outputs of similar age from Frontiers in Psychology
#549
of 969 outputs
Altmetric has tracked 25,014,758 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 56% 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 293,166 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 969 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.