A bibliometrics analysis and visualization of autism spectrum disorder

Datos Bibliográficos

ID15519165
AutoresPing Rong (0000-0002-0481-3653, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, autor de correspondencia), Qianfang Fu (0000-0001-9203-9129, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine), Xilian Zhang (0000-0002-0452-1837, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine), Hui Liu (0000-0001-5519-148X, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine), Shuyi Zhao (0009-0006-1821-9758, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine), Xinxin Song (0000-0003-3442-8171, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine), Puxing Gao (First Teaching Hospital of Tianjin University of Traditional Chinese Medicine), Rong Ma (0000-0001-8941-6966, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, autor de correspondencia)
Año2022
Volumen13
Páginas884600-884600
Fecha de publicación2022-07-18
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.884600
PMID35923445
OpenAlexW4285728602
IdiomaEN
Citas recibidas3
Referencias citadas76

We consider the future development direction should be based on the improvement of case identification, accurate clinical phenotype, large-scale cohort study, the discovery of ASD etiology and diagnostic markers, drug randomized controlled trials, and telehealth

Autism · Autism spectrum disorder · Bibliometrics · Data mining · Psychiatry · Visualization · Autism Spectrum Disorder Research · Child Development and Digital Technology · Clinical Psychology · Computer Science · Genetics and Neurodevelopmental Disorders · Medicine · Psychology · Artificial Intelligence