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Speech Production Errors in Children With Cleft Palate With or Without Cleft Lip.

Overview of attention for article published in Journal of Speech, Language & Hearing Research, February 2023
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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33 Mendeley
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Article details
Title
Speech Production Errors in Children With Cleft Palate With or Without Cleft Lip.
Published in
Journal of Speech, Language & Hearing Research, February 2023
DOI 10.1044/2022_jslhr-22-00264
Pubmed ID
Authors
Abstract

The purpose of this study was to describe the frequency of speech production errors in children with cleft palate with or without cleft lip (CP±L) and explore characteristics related to speech production errors. Fifty-six children with nonsyndromic CP±L between the ages of 4;0 and 7;11 (years;months) were included in this study. The children's audio-recorded production of a sentence repetition task was transcribed using narrow transcription and coded for speech error type. Children used, on average, 18 speech errors during the sentence repetition task that sampled 59 phoneme targets. On average, phonological errors were used most frequently, with nine errors per sample, followed by anterior oral speech errors at four errors per sample, and non-oral compensatory errors at three errors per sample. Individual-level characteristics including age and cleft type were related to frequency of phonological errors and anterior oral speech errors, respectively. One treatment-level characteristic, hypernasality, was related to use of non-oral compensatory errors and passive speech errors. This study identified the most frequent speech production errors as phonological errors, followed by anterior oral speech errors and non-oral compensatory errors. Individual-level and treatment-level characteristics were related to speech production errors. Future research should explore additional characteristics that may influence use of speech production errors. Clinically, this study adds information regarding speech error types that should be monitored throughout cleft care, including phonological errors that were most prevalent among this sample. https://doi.org/10.23641/asha.22044095.

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X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 1 3%
Student > Ph. D. Student 1 3%
Student > Master 1 3%
Other 1 3%
Unknown 25 76%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 3 9%
Nursing and Health Professions 2 6%
Psychology 2 6%
Economics, Econometrics and Finance 1 3%
Engineering 1 3%
Other 0 0%
Unknown 24 73%
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 10 July 2023.
All research outputs
#5,070,780
of 34,143,137 outputs
Outputs from Journal of Speech, Language & Hearing Research
#743
of 4,462 outputs
Outputs of similar age
#87,869
of 543,479 outputs
Outputs of similar age from Journal of Speech, Language & Hearing Research
#22
of 89 outputs
Altmetric has tracked 34,143,137 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 4,462 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 83% 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 543,479 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 83% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.