| Title |
Profiling Autism Symptomatology: An Exploration of the Q-ASC Parental Report Scale in Capturing Sex Differences in Autism
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, October 2017
|
| DOI | 10.1007/s10803-017-3324-9 |
| Pubmed ID | |
| Authors |
Sarah Mae Simcoe, Charlotte Brownlow, Michelle Sarah Garnett, Agnieszka Rynkiewicz, Tony Attwood |
| Abstract |
The Questionnaire for Autism Spectrum Conditions (Q-ASC) was developed by Attwood et al. (2011) to identify gender-sensitive profiles of autism symptomatology; prioritise and adjust the direction of clinical interventions; and support positive psychosocial outcomes and prognosis into adulthood. The current research piloted the Q-ASC with parents of 238 children with a clinical diagnosis of ASD-Level 1 (without intellectual or language impairment). Data analysis revealed eight interpretable and reliable components of the Q-ASC using Principle components analysis. Comparisons across age and gender groups found statistically significant mean differences of parent-reported characteristics. The findings from this study aim to identify improvements in the Q-ASC towards the future assessment of the sensitivity and diversity of presentations of autism among female children and adolescents. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 10% |
| Brazil | 1 | 10% |
| Germany | 1 | 10% |
| Canada | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 185 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 12% |
| Student > Bachelor | 23 | 12% |
| Student > Ph. D. Student | 20 | 11% |
| Researcher | 18 | 10% |
| Student > Doctoral Student | 16 | 9% |
| Other | 27 | 15% |
| Unknown | 58 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 61 | 33% |
| Social Sciences | 17 | 9% |
| Medicine and Dentistry | 13 | 7% |
| Nursing and Health Professions | 7 | 4% |
| Neuroscience | 5 | 3% |
| Other | 15 | 8% |
| Unknown | 67 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 72. 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 28 May 2018.
All research outputs
#584,012
of 25,199,243 outputs
Outputs from Journal of Autism and Developmental Disorders
#166
of 5,431 outputs
Outputs of similar age
#12,379
of 335,266 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#7
of 129 outputs
Altmetric has tracked 25,199,243 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,431 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 96% of its peers.
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We're also able to compare this research output to 129 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 95% of its contemporaries.