Identifying understudied correlations between autism & phenotypic attributes in a large family dataset

A more expansive conceptualization of the autism phenotype is likely to be useful to both researchers and families for identifying a more targeted approach to intervention.

Authors

Institutions

Publication Details

Journal
BMC Psychology
Published
2025-05-26
DOI
https://doi.org/10.1186/s40359-025-02739-4
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying understudied correlations between autism & phenotypic attributes in a large family dataset

Leonard Abbeduto, Maya McNealis, Anastasia Dimitropoulos, Dennis P. Wall et al.
BMC Psychology
Autism Spectrum Disorder Research
article

Identifying understudied correlations between autism & phenotypic attributes in a large family dataset

Leonard Abbeduto, Maya McNealis, Anastasia Dimitropoulos, Dennis P. Wall, Kaitlyn Dunlap, John Kent, Kelley Paskov, Brittani Phillips, Jordan Lane, Melissa Armstrong‐Brine, Shanna Kralovic
article en

Abstract

A more expansive conceptualization of the autism phenotype is likely to be useful to both researchers and families for identifying a more targeted approach to intervention.

BMC PsychologyVol. 13(1)
MetroHealth (US), Stanford Medicine (US), Rainbow Babies & Children's Hospital (US), Case Western Reserve University (US), University of California, Davis (US), Stanford University (US)
Hartwell Foundation, National Institutes of Health, University of California, Davis
Quality Education
Openalex Percentile: Top 89%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.