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Co‐morbidity of autism and SLI: kinds, kin and complexity

Overview of attention for article published in International Journal of Language & Communication Disorders, March 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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6 X users

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181 Mendeley
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Article details
Title
Co‐morbidity of autism and SLI: kinds, kin and complexity
Published in
International Journal of Language & Communication Disorders, March 2011
DOI 10.1111/j.1460-6984.2011.00017.x
Pubmed ID
Authors
Abstract

There has been a long-standing interest in the relationship between specific language impairment (SLI) and autism spectrum disorder (ASD). In the last decade Tager-Flusberg and colleagues have proposed that this relationship consists of a partial overlap between the two. Therefore, among children with ASD there exists a subgroup who have SLI and ASD which has been called 'ALI'. Tager-Flusberg's laboratory has presented several papers showing similar language profiles and brain structure abnormalities in both SLI and ALI. Others (Bishop, Whitehouse, Botting, Williams) have been less convinced that these ALI children have both ASD and SLI. Although they generally agree that the two groups are grossly similar, careful inspection of the data shows that there are differences. I will argue that many of the problems in this debate stem from a view of SLI that represents a particular kind of language learner and therefore a particular and unique profile can be assumed. I argue for recognizing that SLI is not likely to be a unique kind of language learner. Many of the features reported to be characteristic of SLI are also found in other forms of neurodevelopmental disorders. Other features are the outgrowth of studying clinically identified children with SLI and thus the profile appears to reflect biases and practices in the clinical service system. As a result it may be more reasonable to conclude that there is a large group of children with ASD who have poor language skills. The question then remains why are there so many children with ASD who also have poor language? There are several factors that collectively are strong candidates for answers to this question.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 181 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 States 3 2%
United Kingdom 2 1%
Unknown 176 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 35 19%
Student > Master 31 17%
Researcher 24 13%
Student > Bachelor 19 10%
Student > Doctoral Student 10 6%
Other 31 17%
Unknown 31 17%
Readers by discipline
Readers by discipline Count As %
Psychology 60 33%
Linguistics 20 11%
Neuroscience 15 8%
Social Sciences 15 8%
Nursing and Health Professions 10 6%
Other 24 13%
Unknown 37 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 June 2012.
All research outputs
#9,135,209
of 27,725,161 outputs
Outputs from International Journal of Language & Communication Disorders
#623
of 1,188 outputs
Outputs of similar age
#47,452
of 127,118 outputs
Outputs of similar age from International Journal of Language & Communication Disorders
#13
of 68 outputs
Altmetric has tracked 27,725,161 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,188 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 127,118 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.