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A Bayesian Dirichlet process community occupancy model to estimate community structure and species similarity

Overview of attention for article published in Ecological Applications, January 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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
6 tweeters

Readers on

mendeley
12 Mendeley
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Title
A Bayesian Dirichlet process community occupancy model to estimate community structure and species similarity
Published in
Ecological Applications, January 2021
DOI 10.1002/eap.2249
Pubmed ID
Authors

Rahel Sollmann, Mitchell Joseph Eaton, William A. Link, Paul Mulondo, Samuel Ayebare, Sarah Prinsloo, Andrew J. Plumptre, Devin S. Johnson

Twitter Demographics

The data shown below were collected from the profiles of 6 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 3 25%
Professor > Associate Professor 2 17%
Student > Master 1 8%
Student > Bachelor 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 50%
Environmental Science 2 17%
Mathematics 1 8%
Unknown 3 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 05 August 2021.
All research outputs
#2,242,715
of 18,812,670 outputs
Outputs from Ecological Applications
#623
of 2,893 outputs
Outputs of similar age
#73,275
of 386,630 outputs
Outputs of similar age from Ecological Applications
#15
of 45 outputs
Altmetric has tracked 18,812,670 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 2,893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 78% 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 386,630 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 81% of its contemporaries.
We're also able to compare this research output to 45 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 68% of its contemporaries.