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Effects of Age on Long Term Memory for Degraded Speech

Overview of attention for article published in Frontiers in Human Neuroscience, September 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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6 X users

Citations

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10 Dimensions

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38 Mendeley
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Title
Effects of Age on Long Term Memory for Degraded Speech
Published in
Frontiers in Human Neuroscience, September 2016
DOI 10.3389/fnhum.2016.00473
Pubmed ID
Authors

Christiane M. Thiel, Jale Özyurt, Waldo Nogueira, Sebastian Puschmann

Abstract

Prior research suggests that acoustical degradation impacts encoding of items into memory, especially in elderly subjects. We here aimed to investigate whether acoustically degraded items that are initially encoded into memory are more prone to forgetting as a function of age. Young and old participants were tested with a vocoded and unvocoded serial list learning task involving immediate and delayed free recall. We found that degraded auditory input increased forgetting of previously encoded items, especially in older participants. We further found that working memory capacity predicted forgetting of degraded information in young participants. In old participants, verbal IQ was the most important predictor for forgetting acoustically degraded information. Our data provide evidence that acoustically degraded information, even if encoded, is especially vulnerable to forgetting in old age.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 5 13%
Student > Bachelor 3 8%
Professor 2 5%
Student > Doctoral Student 2 5%
Other 8 21%
Unknown 10 26%
Readers by discipline Count As %
Psychology 7 18%
Neuroscience 6 16%
Linguistics 4 11%
Nursing and Health Professions 2 5%
Computer Science 2 5%
Other 5 13%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 October 2016.
All research outputs
#7,610,712
of 23,344,526 outputs
Outputs from Frontiers in Human Neuroscience
#3,248
of 7,271 outputs
Outputs of similar age
#114,588
of 322,172 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#60
of 152 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 54% 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 322,172 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 152 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 61% of its contemporaries.