↓ Skip to main content

Incorporating Imperfect Detection into Joint Models of Communities: A response to Warton et al.

Overview of attention for article published in Trends in Ecology & Evolution, August 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
144 Mendeley
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
Incorporating Imperfect Detection into Joint Models of Communities: A response to Warton et al.
Published in
Trends in Ecology & Evolution, August 2016
DOI 10.1016/j.tree.2016.07.009
Pubmed ID
Authors

Steven R. Beissinger, Kelly J. Iknayan, Gurutzeta Guillera-Arroita, Elise F. Zipkin, Robert M. Dorazio, J. Andrew Royle, Marc Kéry

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Latvia 1 <1%
United States 1 <1%
Portugal 1 <1%
Unknown 140 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 26%
Student > Ph. D. Student 30 21%
Student > Master 20 14%
Other 9 6%
Student > Doctoral Student 9 6%
Other 20 14%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 44%
Environmental Science 43 30%
Engineering 3 2%
Nursing and Health Professions 2 1%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 5 3%
Unknown 25 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 October 2016.
All research outputs
#6,314,026
of 25,623,883 outputs
Outputs from Trends in Ecology & Evolution
#1,977
of 3,219 outputs
Outputs of similar age
#97,788
of 369,995 outputs
Outputs of similar age from Trends in Ecology & Evolution
#24
of 39 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,219 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.9. This one is in the 38th percentile – i.e., 38% 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 369,995 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 73% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.