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Language, Reading, and Math Learning Profiles in an Epidemiological Sample of School Age Children

Overview of attention for article published in PLoS ONE, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
3 news outlets
twitter
144 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
192 Mendeley
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Title
Language, Reading, and Math Learning Profiles in an Epidemiological Sample of School Age Children
Published in
PLoS ONE, October 2013
DOI 10.1371/journal.pone.0077463
Pubmed ID
Authors

Lisa M. D. Archibald, Janis Oram Cardy, Marc F. Joanisse, Daniel Ansari

Abstract

Dyscalculia, dyslexia, and specific language impairment (SLI) are relatively specific developmental learning disabilities in math, reading, and oral language, respectively, that occur in the context of average intellectual capacity and adequate environmental opportunities. Past research has been dominated by studies focused on single impairments despite the widespread recognition that overlapping and comorbid deficits are common. The present study took an epidemiological approach to study the learning profiles of a large school age sample in language, reading, and math. Both general learning profiles reflecting good or poor performance across measures and specific learning profiles involving either weak language, weak reading, weak math, or weak math and reading were observed. These latter four profiles characterized 70% of children with some evidence of a learning disability. Low scores in phonological short-term memory characterized clusters with a language-based weakness whereas low or variable phonological awareness was associated with the reading (but not language-based) weaknesses. The low math only group did not show these phonological deficits. These findings may suggest different etiologies for language-based deficits in language, reading, and math, reading-related impairments in reading and math, and isolated math disabilities.

Twitter Demographics

The data shown below were collected from the profiles of 144 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 2%
United States 2 1%
Puerto Rico 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Algeria 1 <1%
Unknown 183 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 21%
Researcher 35 18%
Student > Ph. D. Student 30 16%
Student > Bachelor 14 7%
Professor > Associate Professor 13 7%
Other 38 20%
Unknown 22 11%
Readers by discipline Count As %
Psychology 78 41%
Social Sciences 23 12%
Linguistics 12 6%
Neuroscience 12 6%
Medicine and Dentistry 8 4%
Other 28 15%
Unknown 31 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 131. 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 18 October 2020.
All research outputs
#178,502
of 17,415,680 outputs
Outputs from PLoS ONE
#3,030
of 165,104 outputs
Outputs of similar age
#1,759
of 178,403 outputs
Outputs of similar age from PLoS ONE
#100
of 4,141 outputs
Altmetric has tracked 17,415,680 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 165,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 98% 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 178,403 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 4,141 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.