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      Autism Research: An Objective Quantitative Review of Progress and Focus Between 1994 and 2015

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          Abstract

          The nosology and epidemiology of Autism has undergone transformation following consolidation of once disparate disorders under the umbrella diagnostic, autism spectrum disorders. Despite this re-conceptualization, research initiatives, including the NIMH’s Research Domain Criteria and Precision Medicine, highlight the need to bridge psychiatric and psychological classification methodologies with biomedical techniques. Combining traditional bibliometric co-word techniques, with tenets of graph theory and network analysis, this article provides an objective thematic review of research between 1994 and 2015 to consider evolution and focus. Results illustrate growth in Autism research since 2006, with nascent focus on physiology. However, modularity and citation analytics demonstrate dominance of subjective psychological or psychiatric constructs, which may impede progress in the identification and stratification of biomarkers as endorsed by new research initiatives.

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          bibliometrix : An R-tool for comprehensive science mapping analysis

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            Modularity and community structure in networks

            M. Newman (2006)
            Many networks of interest in the sciences, including a variety of social and biological networks, are found to divide naturally into communities or modules. The problem of detecting and characterizing this community structure has attracted considerable recent attention. One of the most sensitive detection methods is optimization of the quality function known as "modularity" over the possible divisions of a network, but direct application of this method using, for instance, simulated annealing is computationally costly. Here we show that the modularity can be reformulated in terms of the eigenvectors of a new characteristic matrix for the network, which we call the modularity matrix, and that this reformulation leads to a spectral algorithm for community detection that returns results of better quality than competing methods in noticeably shorter running times. We demonstrate the algorithm with applications to several network data sets.
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              Die „Autistischen Psychopathen” im Kindesalter

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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                23 August 2018
                2018
                : 9
                : 1526
                Affiliations
                Psychology, Rutgers University – The State University of New Jersey–Busch Campus , Piscataway, NJ, United States
                Author notes

                Edited by: Frank Emmert-Streib, Tampere University of Technology, Finland

                Reviewed by: Gail A. Alvares, Telethon Kids Institute, Australia; Mariano Luis Alcañiz Raya, Universitat Politècnica de València, Spain

                *Correspondence: Elizabeth B. Torres, ebtorres@ 123456psych.rutgers.edu

                Present address: Caroline P. Whyatt, Psychology and Sport Science, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom

                This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2018.01526
                6116169
                30190695
                964b7410-2817-4fc3-bd4a-cbf59a9428e0
                Copyright © 2018 Whyatt and Torres.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 February 2018
                : 31 July 2018
                Page count
                Figures: 7, Tables: 0, Equations: 4, References: 58, Pages: 18, Words: 0
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                autism,quantitative review,graph theory,connectivity metrics,bibliometrics

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