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ubms: An R package for fitting hierarchical occupancy and N‐mixture abundance models in a Bayesian framework

Overview of attention for article published in Methods in Ecology and Evolution, December 2021
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
14 X users
peer_reviews
1 peer review site

Readers on

mendeley
130 Mendeley
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Article details
Title
ubms: An R package for fitting hierarchical occupancy and N‐mixture abundance models in a Bayesian framework
Published in
Methods in Ecology and Evolution, December 2021
DOI 10.1111/2041-210x.13777
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Researcher 16 12%
Student > Master 15 12%
Student > Doctoral Student 7 5%
Student > Bachelor 7 5%
Other 9 7%
Unknown 47 36%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 41 32%
Environmental Science 32 25%
Unspecified 1 <1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Mathematics 1 <1%
Other 3 2%
Unknown 51 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 17 May 2025.
All research outputs
#1,717,082
of 32,753,524 outputs
Outputs from Methods in Ecology and Evolution
#537
of 2,891 outputs
Outputs of similar age
#34,164
of 558,599 outputs
Outputs of similar age from Methods in Ecology and Evolution
#18
of 62 outputs
Altmetric has tracked 32,753,524 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has done well, scoring higher than 81% 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 558,599 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 93% of its contemporaries.
We're also able to compare this research output to 62 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 70% of its contemporaries.