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Spectral-normalization filter for subjective analysis of the aging voice

Overview of attention for article published in Proceedings of Meetings on Acoustics, March 2018
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Article details
Title
Spectral-normalization filter for subjective analysis of the aging voice
Published in
Proceedings of Meetings on Acoustics, March 2018
DOI 10.1121/2.0000770
Pubmed ID
Authors

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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 03 April 2018.
All research outputs
#16,728,456
of 25,382,440 outputs
Outputs from Proceedings of Meetings on Acoustics
#1,307
of 1,796 outputs
Outputs of similar age
#210,869
of 343,676 outputs
Outputs of similar age from Proceedings of Meetings on Acoustics
#39
of 43 outputs
Altmetric has tracked 25,382,440 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 1,796 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 21st percentile – i.e., 21% 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 343,676 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 43 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.