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Rhythm Facilitates the Detection of Repeating Sound Patterns

Overview of attention for article published in Frontiers in Neuroscience, January 2016
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Title
Rhythm Facilitates the Detection of Repeating Sound Patterns
Published in
Frontiers in Neuroscience, January 2016
DOI 10.3389/fnins.2016.00009
Pubmed ID
Authors

Vani G. Rajendran, Nicol S. Harper, Khaled H. A. Abdel-Latif, Jan W. H. Schnupp

Abstract

This study investigates the influence of temporal regularity on human listeners' ability to detect a repeating noise pattern embedded in statistically identical non-repeating noise. Human listeners were presented with white noise stimuli that either contained a frozen segment of noise that repeated in a temporally regular or irregular manner, or did not contain any repetition at all. Subjects were instructed to respond as soon as they detected any repetition in the stimulus. Pattern detection performance was best when repeated targets occurred in a temporally regular manner, suggesting that temporal regularity plays a facilitative role in pattern detection. A modulation filterbank model could account for these results.

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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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 4%
Germany 1 2%
Unknown 47 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 12 24%
Professor 5 10%
Student > Master 5 10%
Other 3 6%
Other 7 14%
Unknown 6 12%
Readers by discipline Count As %
Neuroscience 17 34%
Psychology 7 14%
Agricultural and Biological Sciences 6 12%
Arts and Humanities 3 6%
Linguistics 2 4%
Other 5 10%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 January 2016.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#8,670
of 11,541 outputs
Outputs of similar age
#282,616
of 405,221 outputs
Outputs of similar age from Frontiers in Neuroscience
#124
of 171 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 18th percentile – i.e., 18% 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 405,221 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.