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A guide to Bayesian model selection for ecologists

Overview of attention for article published in Ecological Monographs, February 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 993)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
4 blogs
twitter
143 X users
facebook
9 Facebook pages
googleplus
5 Google+ users

Citations

dimensions_citation
696 Dimensions

Readers on

mendeley
1219 Mendeley
citeulike
2 CiteULike
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Title
A guide to Bayesian model selection for ecologists
Published in
Ecological Monographs, February 2015
DOI 10.1890/14-0661.1
Authors

M. B. Hooten, N. T. Hobbs

X Demographics

X Demographics

The data shown below were collected from the profiles of 143 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 1,219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 35 3%
Brazil 6 <1%
Australia 5 <1%
Germany 4 <1%
France 4 <1%
Japan 4 <1%
Canada 4 <1%
United Kingdom 4 <1%
Spain 2 <1%
Other 11 <1%
Unknown 1140 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 322 26%
Researcher 249 20%
Student > Master 201 16%
Student > Doctoral Student 68 6%
Student > Bachelor 60 5%
Other 186 15%
Unknown 133 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 579 47%
Environmental Science 274 22%
Earth and Planetary Sciences 37 3%
Mathematics 20 2%
Biochemistry, Genetics and Molecular Biology 18 1%
Other 81 7%
Unknown 210 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 May 2021.
All research outputs
#393,441
of 25,834,578 outputs
Outputs from Ecological Monographs
#18
of 993 outputs
Outputs of similar age
#4,742
of 363,532 outputs
Outputs of similar age from Ecological Monographs
#2
of 6 outputs
Altmetric has tracked 25,834,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 993 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 98% 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 363,532 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 98% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.