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Predictive properties of the A-TAC inventory when screening for childhood-onset neurodevelopmental problems in a population-based sample

Overview of attention for article published in BMC Psychiatry, September 2013
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 Wikipedia page
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1 Google+ user

Citations

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69 Dimensions

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122 Mendeley
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Title
Predictive properties of the A-TAC inventory when screening for childhood-onset neurodevelopmental problems in a population-based sample
Published in
BMC Psychiatry, September 2013
DOI 10.1186/1471-244x-13-233
Pubmed ID
Authors

Tomas Larson, Sebastian Lundström, Thomas Nilsson, Eva Norén Selinus, Maria Råstam, Paul Lichtenstein, Clara Hellner Gumpert, Henrik Anckarsäter, Nóra Kerekes

Abstract

Identifying children with childhood-onset neurodevelopmental problems (NDPs, defined here as autism spectrum disorders [ASDs], attention-deficit/hyperactivity disorder [AD/HD], tic disorders [TDs], learning disorders [LDs] and development coordination disorder), using easily administered screening instruments, is a prerequisite for epidemiological research. Such instruments are also clinically useful to prioritize children for comprehensive assessments, to screen risk groups, and to follow controls.Autism-Tics, ADHD, and other Co-morbidities inventory (A-TAC) was developed to meet these requirements; here the A-TAC's prospective and psychometric properties are examined, when used in a population-based, epidemiological setting.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
United Kingdom 1 <1%
Unknown 119 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 16%
Researcher 16 13%
Student > Ph. D. Student 16 13%
Student > Doctoral Student 11 9%
Student > Bachelor 7 6%
Other 22 18%
Unknown 30 25%
Readers by discipline Count As %
Psychology 33 27%
Medicine and Dentistry 16 13%
Nursing and Health Professions 10 8%
Social Sciences 10 8%
Agricultural and Biological Sciences 4 3%
Other 16 13%
Unknown 33 27%
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 10 May 2021.
All research outputs
#7,454,537
of 25,654,806 outputs
Outputs from BMC Psychiatry
#2,742
of 5,502 outputs
Outputs of similar age
#61,640
of 216,169 outputs
Outputs of similar age from BMC Psychiatry
#44
of 81 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 49th percentile – i.e., 49% 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 216,169 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 69% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.