↓ Skip to main content

Language growth in children with heterogeneous language disorders: a population study

Overview of attention for article published in Journal of Child Psychology & Psychiatry, September 2017
Altmetric Badge

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 (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
policy
3 policy sources
twitter
24 X users
podcasts
2 podcasts

Readers on

mendeley
261 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Language growth in children with heterogeneous language disorders: a population study
Published in
Journal of Child Psychology & Psychiatry, September 2017
DOI 10.1111/jcpp.12793
Pubmed ID
Authors
Abstract

Language development has been characterised by significant individual stability from school entry. However, the extent to which trajectories of language growth vary in children with language disorder as a function of co-occurring developmental challenges is a question of theoretical import, with implications for service provision. SCALES employed a population-based survey design with sample weighting procedures to estimate growth in core language skills over the first three years of school. A stratified sample (n = 529) received comprehensive assessment of language, nonverbal IQ, and social, emotional and behavioural difficulties at 5-6 years of age and 95% of the sample (n = 499) were assessed again at ages 7-8. Language growth was measured using both raw and standard scores in children with typical development, children with language disorder of unknown origin, and children with language disorders associated with a known clinical condition and/or intellectual disability. Overall, language was stable at the individual level (estimated ICC = 0.95) over the first three years of school. Linear mixed effects models highlighted steady growth in language raw scores across all three groups, including those with multiple developmental challenges. There was little evidence, however, that children with language disorders were narrowing the gap with peers (z-scores). Adjusted models indicated that while nonverbal ability, socioeconomic status and social, emotional and behavioural deficits predicted initial language score (intercept), none predicted language growth (slope). These findings corroborate previous studies suggesting stable language trajectories after ages 5-6 years, but add considerably to previous work by demonstrating similar developmental patterns in children with additional nonverbal cognitive deficits, social, emotional, and behavioural challenges, social disadvantage or clinical diagnoses.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users 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 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 261 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 34 13%
Student > Ph. D. Student 27 10%
Student > Bachelor 21 8%
Researcher 16 6%
Other 11 4%
Other 43 16%
Unknown 109 42%
Readers by discipline
Readers by discipline Count As %
Psychology 50 19%
Nursing and Health Professions 25 10%
Social Sciences 22 8%
Linguistics 16 6%
Medicine and Dentistry 11 4%
Other 19 7%
Unknown 118 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 11 January 2026.
All research outputs
#1,225,855
of 34,327,810 outputs
Outputs from Journal of Child Psychology & Psychiatry
#457
of 3,889 outputs
Outputs of similar age
#18,484
of 356,289 outputs
Outputs of similar age from Journal of Child Psychology & Psychiatry
#18
of 46 outputs
Altmetric has tracked 34,327,810 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 88% 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 356,289 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 94% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.