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unmarked : An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance

Overview of attention for article published in Journal of Statistical Software, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 235)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
1596 Dimensions

Readers on

mendeley
1696 Mendeley
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Title
unmarked : An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance
Published in
Journal of Statistical Software, January 2011
DOI 10.18637/jss.v043.i10
Authors

Ian Fiske, Richard Chandler

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,696 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 32 2%
Brazil 9 <1%
Switzerland 3 <1%
Spain 3 <1%
Australia 3 <1%
Italy 3 <1%
Norway 2 <1%
France 2 <1%
Germany 2 <1%
Other 25 1%
Unknown 1612 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 378 22%
Researcher 329 19%
Student > Ph. D. Student 300 18%
Student > Bachelor 146 9%
Student > Doctoral Student 95 6%
Other 184 11%
Unknown 264 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 833 49%
Environmental Science 424 25%
Earth and Planetary Sciences 25 1%
Biochemistry, Genetics and Molecular Biology 18 1%
Engineering 14 <1%
Other 72 4%
Unknown 310 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 24 May 2023.
All research outputs
#2,610,884
of 23,832,995 outputs
Outputs from Journal of Statistical Software
#33
of 235 outputs
Outputs of similar age
#15,320
of 185,233 outputs
Outputs of similar age from Journal of Statistical Software
#2
of 14 outputs
Altmetric has tracked 23,832,995 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 235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 85% 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 185,233 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 91% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.