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Study of biological communities subject to imperfect detection: bias and precision of community N‐mixture abundance models in small‐sample situations

Overview of attention for article published in Ecological Research, March 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
174 Mendeley
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Title
Study of biological communities subject to imperfect detection: bias and precision of community N‐mixture abundance models in small‐sample situations
Published in
Ecological Research, March 2016
DOI 10.1007/s11284-016-1340-4
Authors

Yuichi Yamaura, Marc Kéry, J. Andrew Royle

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
United States 2 1%
Latvia 1 <1%
Spain 1 <1%
Portugal 1 <1%
Unknown 167 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 23%
Student > Master 34 20%
Student > Ph. D. Student 21 12%
Student > Doctoral Student 17 10%
Student > Bachelor 10 6%
Other 31 18%
Unknown 21 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 52%
Environmental Science 44 25%
Engineering 3 2%
Computer Science 2 1%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 5 3%
Unknown 27 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 November 2016.
All research outputs
#7,442,892
of 25,623,883 outputs
Outputs from Ecological Research
#218
of 981 outputs
Outputs of similar age
#97,457
of 315,371 outputs
Outputs of similar age from Ecological Research
#4
of 21 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 981 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 315,371 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 68% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.