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Mixed effects models and extensions in ecology with R

Overview of attention for book
Cover of 'Mixed effects models and extensions in ecology with R'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Limitations of Linear Regression Applied on Ecological Data
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    Chapter 3 Things are not Always Linear; Additive Modelling
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    Chapter 4 Dealing with Heterogeneity
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    Chapter 5 Mixed Effects Modelling for Nested Data
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    Chapter 6 Violation of Independence – Part I
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    Chapter 7 Violation of Independence – Part II
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    Chapter 8 Meet the Exponential Family
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    Chapter 9 GLM and GAM for Count Data
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    Chapter 10 GLM and GAM for Absence–Presence and Proportional Data
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    Chapter 11 Zero-Truncated and Zero-Inflated Models for Count Data
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    Chapter 12 Generalised Estimation Equations
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    Chapter 13 GLMM and GAMM
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    Chapter 14 Estimating Trends for Antarctic Birds in Relation to Climate Change
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    Chapter 15 Large-Scale Impacts of Land-Use Change in a Scottish Farming Catchment
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    Chapter 16 Negative Binomial GAM and GAMM to Analyse Amphibian Roadkills
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    Chapter 17 Additive Mixed Modelling Applied on Deep-Sea Pelagic Bioluminescent Organisms
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    Chapter 18 Additive Mixed Modelling Applied on Phytoplankton Time Series Data
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    Chapter 19 Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae
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    Chapter 20 Three-Way Nested Data for Age Determination Techniques Applied to Cetaceans
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    Chapter 21 GLMM Applied on the Spatial Distribution of Koalas in a Fragmented Landscape
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    Chapter 22 A Comparison of GLM, GEE, and GLMM Applied to Badger Activity Data
  24. Altmetric Badge
    Chapter 23 Incorporating Temporal Correlation in Seal Abundance Data with MCMC
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

2 news outlets
2 blogs
2 policy sources
44 X users
3 Q&A threads


14389 Dimensions

Readers on

2746 Mendeley
1 CiteULike
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Mixed effects models and extensions in ecology with R
Published by
Statistics for Biology and Health, January 2009
DOI 10.1007/978-0-387-87458-6
978-0-387-87457-9, 978-0-387-87458-6, 978-1-4419-2764-4

Zuur, Alain F., Ieno, Elena N., Walker, Neil, Saveliev, Anatoly A., Smith, Graham M., Alain F. Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, Graham M. Smith, Neil J. Walker, Alain Zuur, Zuur, Alain F, Graham M. Smith, Zuur, Alain, Smith, Graham M.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 2,746 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 2745 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 <1%
Student > Ph. D. Student 2 <1%
Student > Doctoral Student 1 <1%
Other 1 <1%
Unknown 2739 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 <1%
Medicine and Dentistry 1 <1%
Unknown 2739 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 75. 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 January 2024.
All research outputs
of 25,992,468 outputs
Outputs from Statistics for Biology and Health
of 1 outputs
Outputs of similar age
of 187,124 outputs
Outputs of similar age from Statistics for Biology and Health
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 97th percentile: it's in the top 5% 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 74.5. 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 187,124 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 99% 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