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Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive…

Overview of attention for article published in Frontiers in Psychology, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape
Published in
Frontiers in Psychology, April 2018
DOI 10.3389/fpsyg.2018.00513
Pubmed ID
Authors

Christophe Coupé

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Doctoral Student 9 16%
Student > Master 6 11%
Student > Ph. D. Student 5 9%
Professor > Associate Professor 4 7%
Other 7 12%
Unknown 14 25%
Readers by discipline Count As %
Linguistics 14 25%
Environmental Science 4 7%
Agricultural and Biological Sciences 3 5%
Social Sciences 3 5%
Psychology 3 5%
Other 13 23%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 November 2018.
All research outputs
#5,467,603
of 25,998,826 outputs
Outputs from Frontiers in Psychology
#8,736
of 34,802 outputs
Outputs of similar age
#92,293
of 327,837 outputs
Outputs of similar age from Frontiers in Psychology
#237
of 592 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,802 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 74% 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 327,837 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 71% of its contemporaries.
We're also able to compare this research output to 592 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 59% of its contemporaries.