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ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density

Overview of attention for article published in Frontiers in Psychology, May 2018
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Title
ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density
Published in
Frontiers in Psychology, May 2018
DOI 10.3389/fpsyg.2018.00612
Pubmed ID
Authors

Carmen Moret-Tatay, Daniel Gamermann, Esperanza Navarro-Pardo, Pedro Fernández de Córdoba Castellá

Abstract

The study of reaction times and their underlying cognitive processes is an important field in Psychology. Reaction times are often modeled through the ex-Gaussian distribution, because it provides a good fit to multiple empirical data. The complexity of this distribution makes the use of computational tools an essential element. Therefore, there is a strong need for efficient and versatile computational tools for the research in this area. In this manuscript we discuss some mathematical details of the ex-Gaussian distribution and apply the ExGUtils package, a set of functions and numerical tools, programmed for python, developed for numerical analysis of data involving the ex-Gaussian probability density. In order to validate the package, we present an extensive analysis of fits obtained with it, discuss advantages and differences between the least squares and maximum likelihood methods and quantitatively evaluate the goodness of the obtained fits (which is usually an overlooked point in most literature in the area). The analysis done allows one to identify outliers in the empirical datasets and criteriously determine if there is a need for data trimming and at which points it should be done.

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The data shown below were collected from the profiles of 7 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 7 17%
Lecturer 5 12%
Student > Doctoral Student 4 10%
Student > Bachelor 3 7%
Other 5 12%
Unknown 8 19%
Readers by discipline Count As %
Psychology 15 36%
Neuroscience 3 7%
Engineering 3 7%
Medicine and Dentistry 3 7%
Economics, Econometrics and Finance 1 2%
Other 5 12%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2018.
All research outputs
#13,850,929
of 24,192,521 outputs
Outputs from Frontiers in Psychology
#12,858
of 32,510 outputs
Outputs of similar age
#162,164
of 330,291 outputs
Outputs of similar age from Frontiers in Psychology
#355
of 627 outputs
Altmetric has tracked 24,192,521 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 59% 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 330,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 627 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.