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Hierarchical computing for hierarchical models in ecology

Overview of attention for article published in Methods in Ecology and Evolution, November 2020
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
20 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Hierarchical computing for hierarchical models in ecology
Published in
Methods in Ecology and Evolution, November 2020
DOI 10.1111/2041-210x.13513
Authors

Hanna M. McCaslin, Abigail B. Feuka, Mevin B. Hooten

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 13 22%
Student > Master 6 10%
Professor > Associate Professor 5 9%
Student > Bachelor 4 7%
Other 10 17%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 50%
Environmental Science 12 21%
Unspecified 4 7%
Veterinary Science and Veterinary Medicine 2 3%
Mathematics 1 2%
Other 1 2%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 February 2021.
All research outputs
#2,864,424
of 25,920,652 outputs
Outputs from Methods in Ecology and Evolution
#1,318
of 2,475 outputs
Outputs of similar age
#71,192
of 442,980 outputs
Outputs of similar age from Methods in Ecology and Evolution
#43
of 75 outputs
Altmetric has tracked 25,920,652 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,475 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.0. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 442,980 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 83% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.