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Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes

Overview of attention for article published in Ornithological Applications, March 2017
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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
6 news outlets
blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes
Published in
Ornithological Applications, March 2017
DOI 10.1650/condor-16-137.1
Authors

Brian D. Gerber, William L. Kendall

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Brazil 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Master 9 22%
Student > Ph. D. Student 6 15%
Other 2 5%
Student > Bachelor 1 2%
Other 4 10%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 46%
Environmental Science 9 22%
Unspecified 1 2%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 June 2017.
All research outputs
#769,873
of 25,382,440 outputs
Outputs from Ornithological Applications
#67
of 2,153 outputs
Outputs of similar age
#15,921
of 322,842 outputs
Outputs of similar age from Ornithological Applications
#3
of 22 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,153 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 96% 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 322,842 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 22 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.