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Population structure and correlation between auxiliary and target variables may affect precision of estimates in forest inventory

Overview of attention for article published in Communications in Statistics - Simulation and Computation, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 306)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
6 Mendeley
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Article details
Title
Population structure and correlation between auxiliary and target variables may affect precision of estimates in forest inventory
Published in
Communications in Statistics - Simulation and Computation, February 2017
DOI 10.1080/03610918.2016.1139128
Authors

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Timeline Attention over time Attention Score history
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 2 33%
Professor > Associate Professor 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Business, Management and Accounting 1 17%
Earth and Planetary Sciences 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 October 2023.
All research outputs
#4,644,645
of 24,641,327 outputs
Outputs from Communications in Statistics - Simulation and Computation
#29
of 306 outputs
Outputs of similar age
#77,469
of 314,124 outputs
Outputs of similar age from Communications in Statistics - Simulation and Computation
#2
of 9 outputs
Altmetric has tracked 24,641,327 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 306 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 314,124 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 73% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.