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Computerized Sign Language-Based Literacy Training for Deaf and Hard-of-Hearing Children

Overview of attention for article published in Journal of Deaf Studies & Deaf Education, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 700)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
18 X users
facebook
1 Facebook page

Citations

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10 Dimensions

Readers on

mendeley
92 Mendeley
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Title
Computerized Sign Language-Based Literacy Training for Deaf and Hard-of-Hearing Children
Published in
Journal of Deaf Studies & Deaf Education, August 2017
DOI 10.1093/deafed/enx023
Pubmed ID
Authors

Emil Holmer, Mikael Heimann, Mary Rudner

Abstract

Strengthening the connections between sign language and written language may improve reading skills in deaf and hard-of-hearing (DHH) signing children. The main aim of the present study was to investigate whether computerized sign language-based literacy training improves reading skills in DHH signing children who are learning to read. Further, longitudinal associations between sign language skills and developing reading skills were investigated. Participants were recruited from Swedish state special schools for DHH children, where pupils are taught in both sign language and spoken language. Reading skills were assessed at five occasions and the intervention was implemented in a cross-over design. Results indicated that reading skills improved over time and that development of word reading was predicted by the ability to imitate unfamiliar lexical signs, but there was only weak evidence that it was supported by the intervention. These results demonstrate for the first time a longitudinal link between sign-based abilities and word reading in DHH signing children who are learning to read. We suggest that the active construction of novel lexical forms may be a supramodal mechanism underlying word reading development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 14 15%
Student > Ph. D. Student 10 11%
Student > Bachelor 10 11%
Student > Master 9 10%
Researcher 7 8%
Other 14 15%
Unknown 28 30%
Readers by discipline Count As %
Psychology 22 24%
Social Sciences 8 9%
Nursing and Health Professions 7 8%
Linguistics 4 4%
Design 4 4%
Other 16 17%
Unknown 31 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 03 October 2017.
All research outputs
#1,880,492
of 25,382,440 outputs
Outputs from Journal of Deaf Studies & Deaf Education
#39
of 700 outputs
Outputs of similar age
#35,835
of 323,499 outputs
Outputs of similar age from Journal of Deaf Studies & Deaf Education
#2
of 15 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 700 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 94% 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 323,499 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 88% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.