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Risk factors for the existence of attention deficit hyperactivity disorder symptoms in children with autism spectrum disorders

Overview of attention for article published in Neuropsychiatric Disease and Treatment, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
63 Mendeley
Title
Risk factors for the existence of attention deficit hyperactivity disorder symptoms in children with autism spectrum disorders
Published in
Neuropsychiatric Disease and Treatment, June 2017
DOI 10.2147/ndt.s132214
Pubmed ID
Authors

Anna Linda Lamanna, Francesco Craig, Emilia Matera, Marta Simone, Maura Buttiglione, Lucia Margari

Abstract

Over the years, several authors have reported symptoms of attention deficit hyperactivity disorder (ADHD) in patients with autism spectrum disorders (ASD); however, studies on the risk factors of ADHD symptoms in children with ASD are lacking. The aim of this cross-sectional study was to identify the risk factors for the development of ADHD symptoms in children with ASD. The sample consisted of 67 children with ASD who were assessed with Conner's Parent Rating Scale-Revised (CPRS-R), and with a semi-structured detailed interview administered to parents, to collect a series of clinical data such as coexisting somatic and neuropsychiatric problems and familial and pre/peri/postpartum risk factors. We found that 55% of ASD children exceeded the cut-off of CPRS-R Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), total scale. The univariate analyses showed that children's age (P=0.048), motor delay (P=0.039), enuresis (P=0.014), allergies (P<0.01), comorbid oppositional defiant disorder (P=0.026) and intellectual disabilities comorbidities (P=0.034) were associated to the CPRS-R DSM-IV total score. Some familial predictors such as neuropsychiatric family history of intellectual disabilities (P=0.003) and psychosis (P=0.039) were related to the CPRS-R DSM-IV total score. In particular, a model including allergies (P=0.000) and family history of psychosis (P=0.03) explained 25% (corrected R(2)=0.25) of the variance of the DSM-IV ADHD score. In conclusion, we identified some risk factors associated with the development of ADHD symptoms in ASD children that need to be studied further.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 19%
Researcher 11 17%
Student > Doctoral Student 5 8%
Student > Ph. D. Student 5 8%
Student > Bachelor 4 6%
Other 12 19%
Unknown 14 22%
Readers by discipline Count As %
Psychology 23 37%
Neuroscience 9 14%
Nursing and Health Professions 5 8%
Medicine and Dentistry 3 5%
Social Sciences 3 5%
Other 3 5%
Unknown 17 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 05 July 2017.
All research outputs
#1,797,453
of 16,585,337 outputs
Outputs from Neuropsychiatric Disease and Treatment
#256
of 2,618 outputs
Outputs of similar age
#42,716
of 271,698 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#9
of 92 outputs
Altmetric has tracked 16,585,337 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,618 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 90% 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 271,698 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 92 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 91% of its contemporaries.