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N-Mixture Models for Estimating Population Size from Spatially Replicated Counts

Overview of attention for article published in Biometrics, March 2004
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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)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
1208 Dimensions

Readers on

mendeley
1569 Mendeley
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Title
N-Mixture Models for Estimating Population Size from Spatially Replicated Counts
Published in
Biometrics, March 2004
DOI 10.1111/j.0006-341x.2004.00142.x
Pubmed ID
Authors

J. Andrew Royle

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 1,569 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 42 3%
Brazil 13 <1%
India 8 <1%
Canada 6 <1%
United Kingdom 6 <1%
Australia 4 <1%
South Africa 4 <1%
Germany 3 <1%
Colombia 3 <1%
Other 24 2%
Unknown 1456 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 332 21%
Student > Ph. D. Student 299 19%
Student > Master 298 19%
Student > Bachelor 96 6%
Other 85 5%
Other 228 15%
Unknown 231 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 816 52%
Environmental Science 367 23%
Mathematics 24 2%
Earth and Planetary Sciences 15 <1%
Biochemistry, Genetics and Molecular Biology 12 <1%
Other 57 4%
Unknown 278 18%
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 11 May 2024.
All research outputs
#2,866,300
of 26,101,087 outputs
Outputs from Biometrics
#99
of 1,963 outputs
Outputs of similar age
#4,376
of 64,127 outputs
Outputs of similar age from Biometrics
#1
of 3 outputs
Altmetric has tracked 26,101,087 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 1,963 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 64,127 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them