↓ Skip to main content

Hierarchical spatial capture-recapture models: modelling population density in stratified populations

Overview of attention for article published in Methods in Ecology and Evolution, December 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
150 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Hierarchical spatial capture-recapture models: modelling population density in stratified populations
Published in
Methods in Ecology and Evolution, December 2013
DOI 10.1111/2041-210x.12135
Authors

J. Andrew Royle, Sarah J. Converse

Twitter Demographics

The data shown below were collected from the profiles of 3 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Portugal 2 1%
Australia 2 1%
Hungary 1 <1%
Latvia 1 <1%
South Africa 1 <1%
France 1 <1%
New Zealand 1 <1%
India 1 <1%
Other 2 1%
Unknown 134 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 25%
Student > Ph. D. Student 35 23%
Student > Master 22 15%
Other 12 8%
Student > Doctoral Student 9 6%
Other 21 14%
Unknown 14 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 58%
Environmental Science 36 24%
Mathematics 4 3%
Earth and Planetary Sciences 2 1%
Engineering 2 1%
Other 3 2%
Unknown 16 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 April 2022.
All research outputs
#12,516,356
of 21,604,458 outputs
Outputs from Methods in Ecology and Evolution
#1,862
of 2,094 outputs
Outputs of similar age
#104,077
of 208,320 outputs
Outputs of similar age from Methods in Ecology and Evolution
#22
of 23 outputs
Altmetric has tracked 21,604,458 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,094 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 208,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.