| Title |
Use of Dysmorphology for Subgroup Classification on Autism Spectrum Disorder in Chinese Children
|
|---|---|
| Published in |
Journal of Autism and Developmental Disorders, May 2013
|
| DOI | 10.1007/s10803-013-1846-3 |
| Pubmed ID | |
| Authors |
Virginia C. N. Wong, Cecilia K. Y. Fung, Polly T. Y. Wong |
| Abstract |
Data from 1,261 Chinese Autistic Spectrum Disorder (ASD) patients were evaluated and categorized into dysmorphic (10.79 %) and non-dysmorphic groups (89.21 %) upon physical examination by the presence of dysmorphic features. Abnormal MRI/CT result, IQ scores and epilepsy were significantly associated with the dysmorphic group of ASD children. However, gender, EEG abnormality and family history and recurrence of ASD were not found to be significantly different between group statuses. It is suggested that results collected from the Chinese population generally resembles that found in the Caucasians with ethnical differences still present. Current study supports the result shown in Miles' study (Miles et al. in Am J Med Genet 135A:171-180, 2005), in which heterogeneity subtypes of autism of different genetic origins which could be distinguished by presence of dysmorphic features on the patients. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Student > Master | 11 | 14% |
| Student > Bachelor | 10 | 13% |
| Researcher | 9 | 12% |
| Student > Doctoral Student | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 19% |
| Psychology | 12 | 16% |
| Neuroscience | 6 | 8% |
| Social Sciences | 5 | 6% |
| Computer Science | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 24 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2014.
All research outputs
#16,188,009
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#4,003
of 5,240 outputs
Outputs of similar age
#122,555
of 195,769 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#39
of 49 outputs
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