期刊
GENES
卷 13, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/genes13091646
关键词
Autism Spectrum Disorder; genetics; autism; ASD; scientometrics; CiteSpace
资金
- John and Lorna Wing Foundation, UK
This study used document co-citation analysis to systematically review literature on ASD genetic research from 2018 to 2022 and identified 12 major clusters representing different sub-topics in the field.
Genetic research in Autism Spectrum Disorder (ASD) has progressed tremendously in recent decades. Dozens of genetic loci and hundreds of alterations in the genetic sequence, expression, epigenetic transformation, and interactions with other physiological and environmental systems have been found to increase the likelihood of developing ASD. There is therefore a need to represent this wide-ranging yet voluminous body of literature in a systematic manner so that this information can be synthesised and understood at a macro level. Therefore, this study made use of scientometric methods, particularly document co-citation analysis (DCA), to systematically review literature on ASD genetic research from 2018 to 2022. A total of 14,818 articles were extracted from Scopus and analyzed with CiteSpace. An optimized DCA analysis revealed that recent literature on ASD genetic research can be broadly organised into 12 major clusters representing various sub-topics. These clusters are briefly described in the manuscript and potential applications of this study are discussed.
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