Educational research on autism spectrum disorders: a bibliometric analysis
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INTRODUCTION. Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects the main vital areas and the quality of people’s lives. Scientific production on ASD in the educational field is essential to improve the understanding and to expand the scientific evidence that helps overcome the educational and social barriers faced by these people. METHOD. To review the relevant literature about ASD research in the educational field during the 21st century (2001-2019), bibliometric techniques were used. To this end, 8,359 scientific articles from Web of Science and Scopus databases were studied. To analyze the structure and performance dynamics of bibliometric indicators (authors, journals, institutions, agencies and countries) the production and citation were calculated in absolute, relative values and the variation rate with the SPSS software. To identify the status and evolution of central and emerging themes, co-occurrence networks and keyword density maps were constructed with VOSviewer and the Citation Burst Indicator was used with CiteSpace. RESULTS. The study shows an increase of published scientific articles in this field since the beginning of the 21st century and six central themes that have led the scientific production are identified: educational intervention, social and communication skills, family, inclusive education, challenging behavior and early intervention. DISCUSSION. In recent years, there is a great growth and diversification of emerging themes in this field of study. These findings may guide the decision making of research policies about ASD.
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American Psychiatric Association [APA] (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5). American Psychiatric Association.
Baio, J., Wiggins, L., Christensen, D. L., Maenner, M. J., Daniels, J., Warren, Z., Kurzius-Spencer, M., Zahorodny, W., Robinson, C., White, T., Durkin, M. S., Imm, P., Nikolaou, L., Yeargin-All-sopp, M., Li-Ching, L., Harrington, R., López, M., Fitzgerald, R. T., Hewitt, A., … Dowling, N. F. (2018). Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years-Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014. Morbity and Mortality Weekly Report, 67(6), 1-23. https://doi.org/10.15585/mmwr.ss6706a1
Baxter, A. J., Brugha, T. S., Erskine, H. E., Scheurer, R. W., Vos, T. y Scott, J. G. (2015). The epidemiology and global burden of autism spectrum disorders. Psychological Medicine, 45(3), 601-613. https://doi.org/10.1017/S003329171400172X
Bölte, S., Mahdi, S., de Vries, P. J., Granlund, M., Robison, J. E., Shulman, C., Swedo, S., Tonge, B., Wong, V., Zwaigenbaum, L., Segerer. W. y Selb, M. (2019). The Gestalt of functioning in autism spectrum disorder: Results of the international conference to develop final consensus International Classification of Functioning, Disability and Health core sets. Autism, 23(2), 449-467. https://doi.org/10.1177/1362361318755522
Chen, C. M. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377. https://doi.org/10.1002/asi.20317
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E. y Herrera, F. (2011). Science Mapping Software Tools: Review, Analysis, and Cooperative Study among Tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402. https://doi.org/10.1002/asi.21525
Delgado, E. y Repiso, R. (2013). El impacto de las revistas de comunicación: Comparando Google Scholar Metrics, Web Science y Scopus. Comunicar, 41, 45-52. https://doi.org/10.3916/C41-2013-04
Delgado, Á., Vázquez-Cano, E., Belando, M. R. y López, E. (2019). Análisis bibliométrico del impacto de la investigación educativa en diversidad funcional y competencia digital: Web of Science y Scopus. Aula Abierta, 48(2), 147-156. https://doi.org/10.17811/rifie.48.2.2019.147-156
Durkin, M. S., Maenner, M. J., Baio, J., Christensen, D., Daniels, J., Fitzgerald, R., Imm, P., Lee, L. C., Schieve, L. A., Van Naarden, K., Wingate, M. S. y Yeargin-Allsopp, M. (2017). Autism Spectrum Disorder among US Children (2002-2010): Socioeconomic, Racial, and Ethnic Disparities. American Journal of Public Health, 107(11), 1818-1826. https://doi.org/10.2105/AJPH.2017.304032
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A. y Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and Weaknesses. Faseb Journal, 22(2), 338-342. https://doi.org/10.1096/fj.07-9492LSF
Frazier, T. W., Dawson, G., Murray, D., Shih, A., Sachs, J. S. y Geiger, A. (2018). Brief Report: A Survey of Autism Research Priorities across a Diverse Community of Stakeholders. Journal of Autism and Developmental Disorders, 48, 3965-3971. https://doi.org/10.1007/s10803-018-3642-6
González de Dios, J., Moya, M. y Mateos-Hernández, M. A. (1997). Indicadores bibliométricos: características y limitaciones en el análisis de la actividad científica. Anales Españoles de Pediatría, 47, 235-244.
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102
Huang, C., Yang, C., Wang, S., Wu, W., Su, J. y Liang, C. (2019). Evolution of topics in education research: A systematic review using bibliometric analysis. Educational Review, 72(1), 1-17. https://doi.org/10.1080/00131911.2019.1566212
Hurwitz, S., Decker, J. R. y Linder, I. L. (2020). The Endrew Decision’s Impact on the Education of Students with Autism: Implications for Practice and Policy. Focus on Autism and Other Developmental Disabilities, 35(3), 131-142. https://doi.org/10.1177/1088357619888928
Ivanović, L. y Ho, Y. S. (2019). Highly cited articles in the Education and Educational Research category in the Social Science Citation Index: A bibliometric analysis. Educational Review, 71(3), 277-286. https://doi.org/10.1080/00131911.2017.1415297
Kanner, L. (1943). Autistic disturbances of affective contact. Nervous Child, 2, 217-250.
Lorenzo, G., Lledó, A., Pomares, J., Roig, R. y Arnaiz, P. (2016). Bibliometric indicators in the study of Asperger syndrome between 1990 and 2014. Scientometrics, 109, 377-388. https://doi.org/10.1007/s11192-016-1975-5
Matson, J. L. y LoVullo, S. V. (2009). Trends and topics in autism spectrum disorders research. Research in Autism Spectrum Disorders, 3(1), 252-257. https://doi.org/10.1016/j.rasd.2008.06.005
Montero, I. y León, O. (2007). A guide for naming research studies in Psychology. International Journal of Clinical and Health Psychology, 7(3), 847-862.
Office of Autism Research Coordination [OARC] (2012). Autism Spectrum Disorder Research Publications Analysis Report: The Global Landscape of Autism Research. Department of Health and Human Services Interagency Autism Coordinating Committee. https://www.iacc.hhs.gov/publications/publications-analysis/2012/
Ofner, M., Coles, A., Decou, M. L., Do, M. T., Bienek, A., Snider, J. y Ugnat, A. M. (2018). Autism Spectrum Disorder among Children and Youth in Canada 2018. A Report of the National Autism Spectrum Disorder Surveillance System. Public Health Agency of Canada.
Pellicano, E., Dinsmore, A. y Charman, T. (2013). A future made together: Shaping autism research in the UK. Institute of Education.
Pellicano, E., Dinsmore, A. y Charman, T. (2014). Views on Researcher-Community Engagement in Autism Research in the United Kingdom: A Mixed-Methods Study. PLoS ONE, 9(10), 1-11. https://doi.org/10.1371/journal.pone.0109946
Rodríguez, A. y Gallego, J. L. (2019). Análisis bibliométrico sobre educación especial. Profesorado. Revista de Currículum y Formación de Profesorado, 23(1), 307-327. https://doi.org/10.30827/profesorado.v23i1.52458
Smith, D. R. (2012). Impact factors, scientometrics and the history of citation-based research. Scientometrics, 92, 419-427. https://doi.org/10.1007/s11192-012-0685-x
Smith, S. J., Powell, J. E., Summers, N. y Roulstone, S. (2019). Thinking differently? Autism and quality of life. Tizard Learning Disability Review, 24(2), 68-76. https://doi.org/10.1108/TLDR-05-2018-0014
Sweileh, W. M., Al-Jabi, S. W., Sawalha, A. F. y Zyoud, S. H. (2016). Bibliometric profile of the global scientific research on autism spectrum disorders. SpringerPlus, 5, 1-12. https://doi.org/10.1186/s40064-016-3165-6
Thurm, A. y Swedo, S. (2012). The importance of autism research. Dialogues in Clinical Neuroscience, 14, 219-222.
Van Eck, N. J. y Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
Wang, J. (2013). Citation time window choice for research impact evaluation. Scientometrics, 94(3), 851-872. https://doi.org/10.1007/s11192-012-0775-9
Whyatt, C. P. y Torres, E. B. (2018). Autism Research: An Objective Quantitative Review of Progress and Focus between 1994 and 2015. Frontiers in Psychology, 9, 1-18. https://doi.org/10.3389/fpsyg.2018.01526
Zarafshan, H., Mohammadi, M. R., Motevalian, S. A., Abolhassani, F., Khaleghi, A. y Sharifi, V. (2017). Autism Research in Iran: A Scientometric Study. Iranian Journal of Psychiatry and Behavioral Sciences, 11(2), 1-7. http://dx.doi.org/10.17795/ijpbs-7350