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<title>Documentary Analysis of the Scientific Literature on Autism and Technology in Web of Science</title>
<creator>Carmona Serrano, Noemí</creator>
<creator>López Belmonte, Jesús</creator>
<creator>Cuesta Gómez, José Luis</creator>
<creator>Moreno Guerrero, Antonio José</creator>
<subject>Autism</subject>
<subject>ASD</subject>
<subject>ICT</subject>
<subject>Technology</subject>
<subject>Bibliometric analysis</subject>
<subject>Scientific mapping</subject>
<subject>SciMAT</subject>
<subject>Web of science</subject>
<description>The objective of the study is to track the progression of the scientific literature on autism and&#xd;
the technology applied to this disorder. A bibliometric methodology has been used, based on a co-word&#xd;
analysis. The Web of Science database was chosen to perform the analysis of the literature. A unit&#xd;
of analysis of 1048 publications was configured. SciMAT software was used mainly for document&#xd;
analysis. The results indicate that the first studies appeared in 1992, but it was not until 2009 that the&#xd;
research volume increased considerably. The area of knowledge where these studies were compiled&#xd;
was rehabilitation, which marks the truly therapeutic nature of this type of study. One of the authors&#xd;
with the most studies, as well as the most relevant research, was Sarkar, N. Manuscripts were usually&#xd;
research articles written in English. It could be concluded that research in this field of study focused&#xd;
mainly on interventions carried out through the use of technological resources, with students or young&#xd;
people who present with ASD. This line of research, although not the only one, was the most relevant&#xd;
and the one that had aroused the most interest among the scientific community.</description>
<date>2023-10-16</date>
<date>2023-10-16</date>
<date>2020-12</date>
<type>info:eu-repo/semantics/article</type>
<identifier>http://hdl.handle.net/10259/7869</identifier>
<identifier>10.3390/brainsci10120985</identifier>
<identifier>2076-3425</identifier>
<language>eng</language>
<relation>Brain Sciences. 2020, V. 10, n. 12, 985</relation>
<relation>https://doi.org/10.3390/brainsci10120985</relation>
<rights>http://creativecommons.org/licenses/by/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Atribución 4.0 Internacional</rights>
<publisher>MDPI</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>