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Cross-Dimensional Mapping of Number, Length and Brightness by Preschool Children

Overview of attention for article published in PLOS ONE, April 2012
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Title
Cross-Dimensional Mapping of Number, Length and Brightness by Preschool Children
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035530
Pubmed ID
Authors

Maria Dolores de Hevia, Monica Vanderslice, Elizabeth S. Spelke

Abstract

Human adults in diverse cultures, children, infants, and non-human primates relate number to space, but it is not clear whether this ability reflects a specific and privileged number-space mapping. To investigate this possibility, we tested preschool children in matching tasks where the dimensions of number and length were mapped both to one another and to a third dimension, brightness. Children detected variation on all three dimensions, and they reliably performed mappings between number and length, and partially between brightness and length, but not between number and brightness. Moreover, children showed reliably better mapping of number onto the dimension of length than onto the dimension of brightness. These findings suggest that number establishes a privileged mapping with the dimension of length, and that other dimensions, including brightness, can be mapped onto length, although less efficiently. Children's adeptness at number-length mappings suggests that these two dimensions are intuitively related by the end of the preschool years.

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Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
France 2 3%
Netherlands 1 1%
Spain 1 1%
South Africa 1 1%
Unknown 63 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 26%
Student > Ph. D. Student 16 23%
Student > Doctoral Student 8 11%
Student > Master 7 10%
Student > Postgraduate 5 7%
Other 12 17%
Unknown 4 6%
Readers by discipline Count As %
Psychology 46 66%
Social Sciences 4 6%
Medicine and Dentistry 3 4%
Computer Science 2 3%
Agricultural and Biological Sciences 2 3%
Other 6 9%
Unknown 7 10%