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Neurocognitive factors in sensory restoration of early deafness: a connectome model

Overview of attention for article published in Lancet Neurology, March 2016
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25

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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2 news outlets
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10 X users
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2 Wikipedia pages

Citations

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242 Dimensions

Readers on

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349 Mendeley
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Title
Neurocognitive factors in sensory restoration of early deafness: a connectome model
Published in
Lancet Neurology, March 2016
DOI 10.1016/s1474-4422(16)00034-x
Pubmed ID
Authors

Andrej Kral, William G Kronenberger, David B Pisoni, Gerard M O'Donoghue

Abstract

Progress in biomedical technology (cochlear, vestibular, and retinal implants) has led to remarkable success in neurosensory restoration, particularly in the auditory system. However, outcomes vary considerably, even after accounting for comorbidity-for example, after cochlear implantation, some deaf children develop spoken language skills approaching those of their hearing peers, whereas other children fail to do so. Here, we review evidence that auditory deprivation has widespread effects on brain development, affecting the capacity to process information beyond the auditory system. After sensory loss and deafness, the brain's effective connectivity is altered within the auditory system, between sensory systems, and between the auditory system and centres serving higher order neurocognitive functions. As a result, congenital sensory loss could be thought of as a connectome disease, with interindividual variability in the brain's adaptation to sensory loss underpinning much of the observed variation in outcome of cochlear implantation. Different executive functions, sequential processing, and concept formation are at particular risk in deaf children. A battery of clinical tests can allow early identification of neurocognitive risk factors. Intervention strategies that address these impairments with a personalised approach, taking interindividual variations into account, will further improve outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 <1%
Germany 1 <1%
Unknown 347 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 20%
Student > Master 47 13%
Researcher 45 13%
Student > Bachelor 21 6%
Student > Doctoral Student 20 6%
Other 66 19%
Unknown 81 23%
Readers by discipline Count As %
Medicine and Dentistry 59 17%
Neuroscience 46 13%
Psychology 45 13%
Nursing and Health Professions 15 4%
Agricultural and Biological Sciences 14 4%
Other 76 22%
Unknown 94 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 14 November 2020.
All research outputs
#1,524,868
of 25,371,288 outputs
Outputs from Lancet Neurology
#987
of 4,011 outputs
Outputs of similar age
#25,134
of 315,301 outputs
Outputs of similar age from Lancet Neurology
#23
of 58 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,011 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.7. This one has done well, scoring higher than 75% 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 315,301 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 58 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 58% of its contemporaries.