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The basis function approach for modeling autocorrelation in ecological data

Overview of attention for article published in Ecology, February 2017
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
19 tweeters
facebook
1 Facebook page

Citations

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22 Dimensions

Readers on

mendeley
125 Mendeley
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Title
The basis function approach for modeling autocorrelation in ecological data
Published in
Ecology, February 2017
DOI 10.1002/ecy.1674
Pubmed ID
Authors

Trevor J. Hefley, Kristin M. Broms, Brian M. Brost, Frances E. Buderman, Shannon L. Kay, Henry R. Scharf, John R. Tipton, Perry J. Williams, Mevin B. Hooten

Abstract

Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many seemingly disparate statistical methods used to account for autocorrelation can be expressed as regression models that include basis functions. Basis functions also enable ecologists to modify a wide range of existing ecological models in order to account for autocorrelation, which can improve inference and predictive accuracy.Furthermore, understanding the properties of basis functions is essential for evaluating the fit of spatial or time-series models, detecting a hidden form of collinearity, and analyzing large data sets. We present important concepts and properties related to basis functions and illustrate several tools and techniques ecologists can use when modeling autocorrelation in ecological data. This article is protected by copyright. All rights reserved.

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 2 2%
France 1 <1%
Spain 1 <1%
Belgium 1 <1%
Czechia 1 <1%
Unknown 116 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 31%
Researcher 31 25%
Student > Master 19 15%
Student > Bachelor 9 7%
Unspecified 5 4%
Other 22 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 49%
Environmental Science 33 26%
Unspecified 12 10%
Mathematics 6 5%
Earth and Planetary Sciences 5 4%
Other 8 6%

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 28 January 2019.
All research outputs
#1,194,139
of 12,460,170 outputs
Outputs from Ecology
#685
of 4,820 outputs
Outputs of similar age
#49,771
of 358,974 outputs
Outputs of similar age from Ecology
#24
of 89 outputs
Altmetric has tracked 12,460,170 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 4,820 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 85% 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 358,974 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 86% of its contemporaries.
We're also able to compare this research output to 89 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 73% of its contemporaries.