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Detecting detectability: identifying and correcting bias in binary wildlife surveys demonstrates their potential impact on conservation assessments

Overview of attention for article published in European Journal of Wildlife Research, June 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 X users

Citations

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11 Dimensions

Readers on

mendeley
72 Mendeley
Title
Detecting detectability: identifying and correcting bias in binary wildlife surveys demonstrates their potential impact on conservation assessments
Published in
European Journal of Wildlife Research, June 2013
DOI 10.1007/s10344-013-0741-8
Authors

Neil Reid, Mathieu G. Lundy, Brian Hayden, Deirdre Lynn, Ferdia Marnell, Robbie A. McDonald, W. Ian Montgomery

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Portugal 1 1%
China 1 1%
Switzerland 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 21%
Researcher 14 19%
Student > Ph. D. Student 13 18%
Student > Bachelor 5 7%
Other 4 6%
Other 12 17%
Unknown 9 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 51%
Environmental Science 17 24%
Unspecified 1 1%
Immunology and Microbiology 1 1%
Psychology 1 1%
Other 1 1%
Unknown 14 19%
Attention Score in Context

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 30 April 2024.
All research outputs
#14,558,761
of 25,818,700 outputs
Outputs from European Journal of Wildlife Research
#563
of 1,100 outputs
Outputs of similar age
#109,288
of 210,506 outputs
Outputs of similar age from European Journal of Wildlife Research
#7
of 10 outputs
Altmetric has tracked 25,818,700 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,100 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 48th percentile – i.e., 48% 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 210,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.