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Intentional and automatic numerical processing as predictors of mathematical abilities in primary school children

Overview of attention for article published in Frontiers in Psychology, March 2015
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Article details
Title
Intentional and automatic numerical processing as predictors of mathematical abilities in primary school children
Published in
Frontiers in Psychology, March 2015
DOI 10.3389/fpsyg.2015.00375
Pubmed ID
Authors
Abstract

Previous studies have suggested that numerical processing relates to mathematical performance, but it seems that such relationship is more evident for intentional than for automatic numerical processing. In the present study we assessed the relationship between the two types of numerical processing and specific mathematical abilities in a sample of 109 children in grades 1-6. Participants were tested in an ample range of mathematical tests and also performed both a numerical and a size comparison task. The results showed that numerical processing related to mathematical performance only when inhibitory control was involved in the comparison tasks. Concretely, we found that intentional numerical processing, as indexed by the numerical distance effect in the numerical comparison task, was related to mathematical reasoning skills only when the task-irrelevant dimension (the physical size) was incongruent; whereas automatic numerical processing, indexed by the congruency effect in the size comparison task, was related to mathematical calculation skills only when digits were separated by small distance. The observed double dissociation highlights the relevance of both intentional and automatic numerical processing in mathematical skills, but when inhibitory control is also involved.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 2%
Canada 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Student > Master 6 11%
Researcher 6 11%
Professor 5 9%
Lecturer 3 5%
Other 10 18%
Unknown 16 29%
Readers by discipline
Readers by discipline Count As %
Psychology 19 34%
Social Sciences 5 9%
Neuroscience 3 5%
Mathematics 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 24 43%
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 31 March 2015.
All research outputs
#17,752,946
of 22,797,621 outputs
Outputs from Frontiers in Psychology
#20,407
of 29,708 outputs
Outputs of similar age
#180,955
of 264,714 outputs
Outputs of similar age from Frontiers in Psychology
#367
of 460 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,708 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 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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We're also able to compare this research output to 460 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.