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Differentiating ADHD from oral language difficulties in children: role of movements and effects of stimulant medication

Overview of attention for article published in BMC Psychiatry, December 2014
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Title
Differentiating ADHD from oral language difficulties in children: role of movements and effects of stimulant medication
Published in
BMC Psychiatry, December 2014
DOI 10.1186/s12888-014-0370-0
Pubmed ID
Authors

Carroll W Hughes, Joyce Pickering, Kristi Baker, Gina Bolanos, Cheryl Silver

Abstract

BackgroundThe current study was designed to test if an objective measure of both attention and movement would differentiate children with Oral Language Disorders (OLD) from those with comorbid Attention Deficit/Hyperactivity Disorder (ADHD) and if stimulant medication improved performance when both disorders were present.MethodsThe sample consisted of thirty-three children with an identified oral language disorder (of which 22 had comorbid ADHD) ages 6 to 13 who were enrolled in a yearlong intensive learning intervention program. Those on a stimulant medication were tested at baseline and again a year later on and off medication.ResultsObjective measures that included an infrared motion analysis system which tracked and recorded subtle movements discriminated children with OLD from those with a comorbid ADHD disorder whereas classic attention measures did not. There were better attention scores and fewer movements in children while on-medication.ConclusionsUse of an objective measurement that includes movement detection improves objective diagnostic differential for OLD and ADHD and provides quantifiable changes in performance related to medication for both OLD and ADHD.

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The data shown below were collected from the profiles of 2 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 17%
Student > Master 8 15%
Student > Bachelor 6 11%
Student > Postgraduate 5 9%
Student > Ph. D. Student 5 9%
Other 7 13%
Unknown 13 25%
Readers by discipline Count As %
Psychology 13 25%
Medicine and Dentistry 9 17%
Social Sciences 5 9%
Neuroscience 3 6%
Nursing and Health Professions 2 4%
Other 7 13%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 January 2015.
All research outputs
#14,792,641
of 22,775,504 outputs
Outputs from BMC Psychiatry
#3,186
of 4,678 outputs
Outputs of similar age
#197,436
of 352,205 outputs
Outputs of similar age from BMC Psychiatry
#61
of 103 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 28th percentile – i.e., 28% 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 352,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.