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Linear Mixed-Effects Models Using R

Overview of attention for book
Cover of 'Linear Mixed-Effects Models Using R'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Case Studies
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    Chapter 3 Data Exploration
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    Chapter 4 Linear Models with Homogeneous Variance
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    Chapter 5 Fitting Linear Models with Homogeneous Variance: The lm() and gls() Functions
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    Chapter 6 ARMD Trial: Linear Model with Homogeneous Variance
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    Chapter 7 Linear Models with Heterogeneous Variance
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    Chapter 8 Fitting Linear Models with Heterogeneous Variance: The gls() Function
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    Chapter 9 ARMD Trial: Linear Model with Heterogeneous Variance
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    Chapter 10 Linear Model with Fixed Effects and Correlated Errors
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    Chapter 11 Fitting Linear Models with Fixed Effects and Correlated Errors: The gls() Function
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    Chapter 12 ARMD Trial: Modeling Correlated Errors for Visual Acuity
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    Chapter 13 Linear Mixed-Effects Model
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    Chapter 14 Fitting Linear Mixed-Effects Models: The lme()Function
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    Chapter 15 Fitting Linear Mixed-Effects Models: The lmer() Function
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    Chapter 16 ARMD Trial: Modeling Visual Acuity
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    Chapter 17 PRT Trial: Modeling Muscle Fiber Specific-Force
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    Chapter 18 SII Project: Modeling Gains in Mathematics Achievement-Scores
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    Chapter 19 FCAT Study: Modeling Attainment-Target Scores
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    Chapter 20 Extensions of theRTools for Linear Mixed-Effects Models
Overall attention for this book and its chapters
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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 (92nd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
q&a
1 Q&A thread

Citations

dimensions_citation
448 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Linear Mixed-Effects Models Using R
Published by
Springer Texts in Statistics, February 2013
DOI 10.1007/978-1-4614-3900-4
ISBNs
978-1-4614-3899-1, 978-1-4614-3900-4, 978-1-4899-9667-1
Authors

Gałecki, Andrzej, Burzykowski, Tomasz, Andrzej Gałecki, Tomasz Burzykowski

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 10%
Professor 1 5%
Student > Bachelor 1 5%
Unknown 16 80%
Readers by discipline Count As %
Psychology 2 10%
Earth and Planetary Sciences 1 5%
Agricultural and Biological Sciences 1 5%
Unknown 16 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 25 November 2021.
All research outputs
#2,407,419
of 25,992,468 outputs
Outputs from Springer Texts in Statistics
#1
of 1 outputs
Outputs of similar age
#23,016
of 294,425 outputs
Outputs of similar age from Springer Texts in Statistics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one scored the same or higher as 0 of them.
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 294,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them