↓ Skip to main content

ASD in Females: Are We Overstating the Gender Difference in Diagnosis?

Overview of attention for article published in Clinical Child and Family Psychology Review, July 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 413)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
28 news outlets
twitter
14 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
251 Dimensions

Readers on

mendeley
528 Mendeley
Title
ASD in Females: Are We Overstating the Gender Difference in Diagnosis?
Published in
Clinical Child and Family Psychology Review, July 2013
DOI 10.1007/s10567-013-0148-9
Pubmed ID
Authors

Nicole L. Kreiser, Susan W. White

Abstract

Autism spectrum disorder (ASD) is predominantly diagnosed in males. In explaining the differential rate of occurrence in males and females, biogenetic models have been proposed and studied, often to the exclusion of potential social or cultural factors that may influence different rates of diagnosis across the genders. In this theoretical paper, we consider sociocultural influences that may contribute to the differential expression of ASD in females and partially explain potential underidentification of ASD in females. Based on our synthesis of the extant literature, we propose that ASD may be underidentified in affected females without co-occurring intellectual impairment, owing to a pattern of subtle yet potentially meaningful gender differences in symptom manifestation (e.g., less unusual stereotyped and repetitive behaviors in females, increased prevalence of internalizing problems in females) and gender inequities in research on the ASD phenotype that potentially contributes to biases in assessment tools and diagnostic practices. We offer recommendations for future research directions on gender differences in ASD, and we suggest implications to inform best practice and policy for the assessment of females with ASD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 528 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Germany 1 <1%
Australia 1 <1%
Unknown 523 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 87 16%
Student > Ph. D. Student 85 16%
Student > Master 77 15%
Researcher 45 9%
Student > Doctoral Student 40 8%
Other 52 10%
Unknown 142 27%
Readers by discipline Count As %
Psychology 206 39%
Medicine and Dentistry 35 7%
Neuroscience 30 6%
Social Sciences 26 5%
Agricultural and Biological Sciences 15 3%
Other 54 10%
Unknown 162 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 222. 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 12 May 2022.
All research outputs
#176,180
of 25,959,914 outputs
Outputs from Clinical Child and Family Psychology Review
#5
of 413 outputs
Outputs of similar age
#1,069
of 209,923 outputs
Outputs of similar age from Clinical Child and Family Psychology Review
#1
of 7 outputs
Altmetric has tracked 25,959,914 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 413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done particularly well, scoring higher than 98% 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 209,923 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them