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.

Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022 / Lim, Mengyu; Carollo, Alessandro; Dimitriou, Dagmara; Esposito, Gianluca. - In: GENES. - ISSN 2073-4425. - 13:9(2022), pp. 164601-164622. [10.3390/genes13091646]

Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022

Carollo, Alessandro
Secondo
;
Esposito, Gianluca
Ultimo
2022-01-01

Abstract

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.
2022
9
Lim, Mengyu; Carollo, Alessandro; Dimitriou, Dagmara; Esposito, Gianluca
Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022 / Lim, Mengyu; Carollo, Alessandro; Dimitriou, Dagmara; Esposito, Gianluca. - In: GENES. - ISSN 2073-4425. - 13:9(2022), pp. 164601-164622. [10.3390/genes13091646]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/360902
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