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Spatially explicit models for inference about density in unmarked or partially marked populations

Overview of attention for article published in The Annals of Applied Statistics, June 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
471 Mendeley
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Title
Spatially explicit models for inference about density in unmarked or partially marked populations
Published in
The Annals of Applied Statistics, June 2013
DOI 10.1214/12-aoas610
Authors

Richard B. Chandler, J. Andrew Royle

Twitter Demographics

The data shown below were collected from the profiles of 4 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 471 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 3%
Mexico 4 <1%
United Kingdom 4 <1%
Brazil 3 <1%
India 2 <1%
Germany 1 <1%
South Africa 1 <1%
Finland 1 <1%
Austria 1 <1%
Other 8 2%
Unknown 432 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 23%
Student > Master 99 21%
Researcher 98 21%
Student > Bachelor 31 7%
Student > Doctoral Student 26 6%
Other 81 17%
Unknown 28 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 302 64%
Environmental Science 107 23%
Mathematics 4 <1%
Earth and Planetary Sciences 4 <1%
Biochemistry, Genetics and Molecular Biology 4 <1%
Other 11 2%
Unknown 39 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 February 2018.
All research outputs
#6,798,100
of 12,544,629 outputs
Outputs from The Annals of Applied Statistics
#171
of 472 outputs
Outputs of similar age
#108,051
of 257,673 outputs
Outputs of similar age from The Annals of Applied Statistics
#5
of 13 outputs
Altmetric has tracked 12,544,629 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 472 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 62% 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 257,673 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 13 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 61% of its contemporaries.