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Auditory and cognitive factors underlying individual differences in aided speech-understanding among older adults

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2013
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Title
Auditory and cognitive factors underlying individual differences in aided speech-understanding among older adults
Published in
Frontiers in Systems Neuroscience, January 2013
DOI 10.3389/fnsys.2013.00055
Pubmed ID
Authors

Larry E. Humes, Gary R. Kidd, Jennifer J. Lentz

Abstract

This study was designed to address individual differences in aided speech understanding among a relatively large group of older adults. The group of older adults consisted of 98 adults (50 female and 48 male) ranging in age from 60 to 86 (mean = 69.2). Hearing loss was typical for this age group and about 90% had not worn hearing aids. All subjects completed a battery of tests, including cognitive (6 measures), psychophysical (17 measures), and speech-understanding (9 measures), as well as the Speech, Spatial, and Qualities of Hearing (SSQ) self-report scale. Most of the speech-understanding measures made use of competing speech and the non-speech psychophysical measures were designed to tap phenomena thought to be relevant for the perception of speech in competing speech (e.g., stream segregation, modulation-detection interference). All measures of speech understanding were administered with spectral shaping applied to the speech stimuli to fully restore audibility through at least 4000 Hz. The measures used were demonstrated to be reliable in older adults and, when compared to a reference group of 28 young normal-hearing adults, age-group differences were observed on many of the measures. Principal-components factor analysis was applied successfully to reduce the number of independent and dependent (speech understanding) measures for a multiple-regression analysis. Doing so yielded one global cognitive-processing factor and five non-speech psychoacoustic factors (hearing loss, dichotic signal detection, multi-burst masking, stream segregation, and modulation detection) as potential predictors. To this set of six potential predictor variables were added subject age, Environmental Sound Identification (ESI), and performance on the text-recognition-threshold (TRT) task (a visual analog of interrupted speech recognition). These variables were used to successfully predict one global aided speech-understanding factor, accounting for about 60% of the variance.

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The data shown below were collected from the profiles of 2 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Sweden 1 <1%
Singapore 1 <1%
Canada 1 <1%
Unknown 148 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 22%
Researcher 25 16%
Student > Master 14 9%
Student > Doctoral Student 12 8%
Professor 10 7%
Other 25 16%
Unknown 34 22%
Readers by discipline Count As %
Psychology 30 20%
Medicine and Dentistry 17 11%
Neuroscience 17 11%
Nursing and Health Professions 9 6%
Agricultural and Biological Sciences 9 6%
Other 26 17%
Unknown 45 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 October 2013.
All research outputs
#14,761,535
of 22,723,682 outputs
Outputs from Frontiers in Systems Neuroscience
#885
of 1,339 outputs
Outputs of similar age
#175,347
of 280,763 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#61
of 95 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 280,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.