Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore.
Department of Psychology and Cognitive Science, University of Trento, 38068 Rovereto, Italy.
Genes (Basel). 2022 Sep 14;13(9):1646. doi: 10.3390/genes13091646.
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.
自闭症谱系障碍(ASD)的遗传学研究在近几十年来取得了巨大进展。已经发现数十个遗传位点和数百个遗传序列、表达、表观遗传转化以及与其他生理和环境系统相互作用的改变,这些都增加了患 ASD 的可能性。因此,需要以系统的方式来表示这个广泛但大量的文献,以便能够在宏观层面上综合和理解这些信息。因此,本研究利用科学计量学方法,特别是文献共被引分析(DCA),对 2018 年至 2022 年自闭症遗传学研究的文献进行了系统综述。从 Scopus 中提取了 14818 篇文章,并使用 CiteSpace 进行了分析。优化的 DCA 分析表明,最近关于 ASD 遗传学研究的文献可以广泛组织成 12 个主要的聚类,代表了各种子主题。本文简要描述了这些聚类,并讨论了这项研究的潜在应用。