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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Prevalence and Characteristics of Children With Profound Autism, 15 Sites, United States, 2000-2016
|
|---|---|
| Published in |
Public Health Reports, April 2023
|
| DOI | 10.1177/00333549231163551 |
| Pubmed ID | |
| Authors |
Michelle M. Hughes, Kelly A. Shaw, Monica DiRienzo, Maureen S. Durkin, Amy Esler, Jennifer Hall-Lande, Lisa Wiggins, Walter Zahorodny, Alison Singer, Matthew J. Maenner |
| Abstract |
Autism spectrum disorder (autism) is a heterogeneous condition that poses challenges in describing the needs of individuals with autism and making prognoses about future outcomes. We applied a newly proposed definition of profound autism to surveillance data to estimate the percentage of children with autism who have profound autism and describe their sociodemographic and clinical characteristics. We analyzed population-based surveillance data from the Autism and Developmental Disabilities Monitoring Network for 20 135 children aged 8 years with autism during 2000-2016. Children were classified as having profound autism if they were nonverbal, were minimally verbal, or had an intelligence quotient <50. The percentage of 8-year-old children with profound autism among those with autism was 26.7%. Compared with children with non-profound autism, children with profound autism were more likely to be female, from racial and ethnic minority groups, of low socioeconomic status, born preterm or with low birth weight; have self-injurious behaviors; have seizure disorders; and have lower adaptive scores. In 2016, the prevalence of profound autism was 4.6 per 1000 8-year-olds. The prevalence ratio (PR) of profound autism was higher among non-Hispanic Asian/Native Hawaiian/Other Pacific Islander (PR = 1.55; 95 CI, 1.38-1.73), non-Hispanic Black (PR = 1.76; 95% CI, 1.67-1.86), and Hispanic (PR = 1.50; 95% CI, 0.88-1.26) children than among non-Hispanic White children. As the population of children with autism continues to change, describing and quantifying the population with profound autism is important for planning. Policies and programs could consider the needs of people with profound autism across the life span to ensure their needs are met. |
X Demographics
The data shown below were collected from the profiles of 128 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 States | 35 | 27% |
| United Kingdom | 18 | 14% |
| Canada | 8 | 6% |
| Australia | 2 | 2% |
| Finland | 1 | <1% |
| Uruguay | 1 | <1% |
| Chile | 1 | <1% |
| India | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 8 | 6% |
| Unknown | 52 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 98 | 77% |
| Scientists | 17 | 13% |
| Practitioners (doctors, other healthcare professionals) | 8 | 6% |
| Science communicators (journalists, bloggers, editors) | 5 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Unspecified | 5 | 14% |
| Professor | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 17% |
| Unspecified | 5 | 14% |
| Medicine and Dentistry | 3 | 8% |
| Neuroscience | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1666. 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 01 March 2024.
All research outputs
#6,595
of 25,779,988 outputs
Outputs from Public Health Reports
#2
of 2,963 outputs
Outputs of similar age
#184
of 417,126 outputs
Outputs of similar age from Public Health Reports
#1
of 32 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,963 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has done particularly well, scoring higher than 99% 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 417,126 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.