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PSYCHOACOUSTICS: a comprehensive MATLAB toolbox for auditory testing

Overview of attention for article published in Frontiers in Psychology, July 2014
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
PSYCHOACOUSTICS: a comprehensive MATLAB toolbox for auditory testing
Published in
Frontiers in Psychology, July 2014
DOI 10.3389/fpsyg.2014.00712
Pubmed ID
Authors

Alessandro Soranzo, Massimo Grassi

Abstract

PSYCHOACOUSTICS is a new MATLAB toolbox which implements three classic adaptive procedures for auditory threshold estimation. The first includes those of the Staircase family (method of limits, simple up-down and transformed up-down); the second is the Parameter Estimation by Sequential Testing (PEST); and the third is the Maximum Likelihood Procedure (MLP). The toolbox comes with more than twenty built-in experiments each provided with the recommended (default) parameters. However, if desired, these parameters can be modified through an intuitive and user friendly graphical interface and stored for future use (no programming skills are required). Finally, PSYCHOACOUSTICS is very flexible as it comes with several signal generators and can be easily extended for any experiment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
France 2 1%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 172 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 20%
Researcher 31 17%
Student > Master 27 15%
Student > Bachelor 12 7%
Student > Postgraduate 11 6%
Other 30 17%
Unknown 31 17%
Readers by discipline Count As %
Psychology 38 21%
Neuroscience 31 17%
Engineering 15 8%
Medicine and Dentistry 10 6%
Computer Science 9 5%
Other 28 16%
Unknown 47 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 September 2014.
All research outputs
#2,997,615
of 25,389,520 outputs
Outputs from Frontiers in Psychology
#5,804
of 34,353 outputs
Outputs of similar age
#28,774
of 239,336 outputs
Outputs of similar age from Frontiers in Psychology
#94
of 386 outputs
Altmetric has tracked 25,389,520 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 83% 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 239,336 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 386 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.