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Screening instruments for early detection of autism spectrum disorder in Spanish speaking communities.

Overview of attention for article published in Psicothema, May 2020
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1 tweeter

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Title
Screening instruments for early detection of autism spectrum disorder in Spanish speaking communities.
Published in
Psicothema, May 2020
DOI 10.7334/psicothema2019.340
Pubmed ID
Authors

Alonso-Esteban, Yurena, Marco, Rafaela, Hedley, Darren, Uljarevié, Mirko, Barbaro, Josie, Canal-Bedia, Ricardo, Alcantud-Marín, Francisco

Abstract

Since autism detection protocols rely primarily on parental accounts of early symptoms, the use by Spanish-speaking populations of screening tools developed in a different language and socio-cultural context (usually English) might hamper the success of early detection programs. A systematic search in four databases was completed, identifying 59 tools used for ASD detection. Of these, only nine tools had been applied in Spanish-speaking populations, and of those, only five can be considered specific tools for the early detection of autism. Sensitivity detecting autism was generally lower in the Spanish versions of the reviewed instruments, while specificity tended to be equal to or higher than that reported in the original screeners. Heterogeneity and poor methodological rigor of the studies conducted to date emphasize an urgent need for a concerted effort to develop reliable and valid instruments for the early detection of autism in Spanish-speaking populations worldwide.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Student > Ph. D. Student 8 13%
Researcher 6 10%
Student > Bachelor 5 8%
Student > Doctoral Student 4 7%
Other 10 16%
Unknown 19 31%
Readers by discipline Count As %
Psychology 23 38%
Nursing and Health Professions 5 8%
Medicine and Dentistry 4 7%
Social Sciences 3 5%
Unspecified 2 3%
Other 6 10%
Unknown 18 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 April 2020.
All research outputs
#20,612,116
of 23,201,298 outputs
Outputs from Psicothema
#199
of 261 outputs
Outputs of similar age
#323,795
of 378,649 outputs
Outputs of similar age from Psicothema
#4
of 5 outputs
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So far Altmetric has tracked 261 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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