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Reading component skills in dyslexia: word recognition, comprehension and processing speed

Overview of attention for article published in Frontiers in Psychology, November 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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14 X users

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18 Dimensions

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100 Mendeley
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Title
Reading component skills in dyslexia: word recognition, comprehension and processing speed
Published in
Frontiers in Psychology, November 2014
DOI 10.3389/fpsyg.2014.01339
Pubmed ID
Authors

Darlene G. de Oliveira, Patrícia B. da Silva, Natália M. Dias, Alessandra G. Seabra, Elizeu C. Macedo

Abstract

The cognitive model of reading comprehension (RC) posits that RC is a result of the interaction between decoding and linguistic comprehension. Recently, the notion of decoding skill was expanded to include word recognition. In addition, some studies suggest that other skills could be integrated into this model, like processing speed, and have consistently indicated that this skill influences and is an important predictor of the main components of the model, such as vocabulary for comprehension and phonological awareness of word recognition. The following study evaluated the components of the RC model and predictive skills in children and adolescents with dyslexia. 40 children and adolescents (8-13 years) were divided in a Dyslexic Group (DG; 18 children, MA = 10.78, SD = 1.66) and control group (CG 22 children, MA = 10.59, SD = 1.86). All were students from the 2nd to 8th grade of elementary school and groups were equivalent in school grade, age, gender, and IQ. Oral and RC, word recognition, processing speed, picture naming, receptive vocabulary, and phonological awareness were assessed. There were no group differences regarding the accuracy in oral and RC, phonological awareness, naming, and vocabulary scores. DG performed worse than the CG in word recognition (general score and orthographic confusion items) and were slower in naming. Results corroborated the literature regarding word recognition and processing speed deficits in dyslexia. However, dyslexics can achieve normal scores on RC test. Data supports the importance of delimitation of different reading strategies embedded in the word recognition component. The role of processing speed in reading problems remain unclear.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
France 1 1%
Unknown 98 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 15%
Student > Ph. D. Student 12 12%
Student > Bachelor 9 9%
Student > Doctoral Student 8 8%
Researcher 7 7%
Other 16 16%
Unknown 33 33%
Readers by discipline Count As %
Psychology 34 34%
Social Sciences 9 9%
Neuroscience 7 7%
Linguistics 4 4%
Unspecified 3 3%
Other 10 10%
Unknown 33 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 January 2023.
All research outputs
#3,574,909
of 24,862,965 outputs
Outputs from Frontiers in Psychology
#6,634
of 33,545 outputs
Outputs of similar age
#49,929
of 373,630 outputs
Outputs of similar age from Frontiers in Psychology
#107
of 363 outputs
Altmetric has tracked 24,862,965 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,545 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 373,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 363 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.