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Evaluating time-removal models for estimating availability of boreal birds during point count surveys: Sample size requirements and model complexity

Overview of attention for article published in Ornithological Applications, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
3 news outlets
blogs
5 blogs
twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Evaluating time-removal models for estimating availability of boreal birds during point count surveys: Sample size requirements and model complexity
Published in
Ornithological Applications, August 2018
DOI 10.1650/condor-18-32.1
Authors

Péter Sólymos, Steven M. Matsuoka, Steven G. Cumming, Diana Stralberg, Patricia Fontaine, Fiona K. A. Schmiegelow, Samantha J. Song, Erin M. Bayne

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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 28%
Student > Ph. D. Student 9 14%
Professor 4 6%
Student > Master 4 6%
Student > Bachelor 3 5%
Other 10 16%
Unknown 16 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 41%
Environmental Science 16 25%
Business, Management and Accounting 1 2%
Arts and Humanities 1 2%
Psychology 1 2%
Other 1 2%
Unknown 18 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 21 May 2020.
All research outputs
#773,243
of 26,312,176 outputs
Outputs from Ornithological Applications
#60
of 2,197 outputs
Outputs of similar age
#15,963
of 348,711 outputs
Outputs of similar age from Ornithological Applications
#2
of 15 outputs
Altmetric has tracked 26,312,176 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,197 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 97% 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 348,711 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 95% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.