Field survey of support groups for people with neurodevelopmental disorders in Japan

This study conducted a systematic review of support groups currently active in accommodating individuals with neurodevelopmental disorders in Japan. The characteristics of the 86 approved support groups for neurodevelopmental disorders are detailed in the Supplementary Materials.

Authors

Institutions

Publication Details

Journal
Psychiatry and Clinical Neurosciences Reports
Published
2024-11-04
DOI
https://doi.org/10.1002/pcn5.70028
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.34

Funders

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

Field survey of support groups for people with neurodevelopmental disorders in Japan

Sayo Hamatani, Yoshifumi Mizuno
1 citations
Psychiatry and Clinical Neurosciences Reports
Autism Spectrum Disorder Research
0.34
article

Field survey of support groups for people with neurodevelopmental disorders in Japan

Sayo Hamatani, Yoshifumi Mizuno
article en
1 citations

Abstract

This study conducted a systematic review of support groups currently active in accommodating individuals with neurodevelopmental disorders in Japan. The characteristics of the 86 approved support groups for neurodevelopmental disorders are detailed in the Supplementary Materials.

Psychiatry and Clinical Neurosciences ReportsVol. 3(4)
University of Fukui (JP), University of Fukui Hospital (JP)
University of Fukui, Japan Society for the Promotion of Science
Openalex Percentile: Top 39%
Autism Spectrum Disorder Research
0.34
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.