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Acoustic space occupancy: Combining ecoacoustics and lidar to model biodiversity variation and detection bias across heterogeneous landscapes

Overview of attention for article published in Ecological Indicators, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
141 Mendeley
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Title
Acoustic space occupancy: Combining ecoacoustics and lidar to model biodiversity variation and detection bias across heterogeneous landscapes
Published in
Ecological Indicators, June 2020
DOI 10.1016/j.ecolind.2020.106172
Authors

Danielle I. Rappaport, J. Andrew Royle, Douglas C. Morton

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 17%
Student > Ph. D. Student 23 16%
Student > Master 17 12%
Student > Bachelor 12 9%
Student > Doctoral Student 10 7%
Other 21 15%
Unknown 34 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 28%
Environmental Science 36 26%
Engineering 8 6%
Biochemistry, Genetics and Molecular Biology 6 4%
Earth and Planetary Sciences 3 2%
Other 5 4%
Unknown 44 31%
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 25 February 2020.
All research outputs
#8,663,839
of 25,834,578 outputs
Outputs from Ecological Indicators
#1,499
of 3,640 outputs
Outputs of similar age
#182,316
of 434,508 outputs
Outputs of similar age from Ecological Indicators
#37
of 89 outputs
Altmetric has tracked 25,834,578 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,640 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 58% 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 434,508 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 57% of its contemporaries.
We're also able to compare this research output to 89 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 58% of its contemporaries.