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Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty

Overview of attention for article published in Methods in Ecology and Evolution, February 2021
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Citations

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Title
Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty
Published in
Methods in Ecology and Evolution, February 2021
DOI 10.1111/2041-210x.13564
Authors

Brady W. Allred, Brandon T. Bestelmeyer, Chad S. Boyd, Christopher Brown, Kirk W. Davies, Michael C. Duniway, Lisa M. Ellsworth, Tyler A. Erickson, Samuel D. Fuhlendorf, Timothy V. Griffiths, Vincent Jansen, Matthew O. Jones, Jason Karl, Anna Knight, Jeremy D. Maestas, Jonathan J. Maynard, Sarah E. McCord, David E. Naugle, Heath D. Starns, Dirac Twidwell, Daniel R. Uden

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

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 23%
Student > Master 22 17%
Student > Ph. D. Student 20 15%
Other 7 5%
Student > Doctoral Student 6 5%
Other 15 11%
Unknown 31 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 27%
Environmental Science 28 21%
Earth and Planetary Sciences 10 8%
Social Sciences 4 3%
Engineering 4 3%
Other 6 5%
Unknown 45 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 October 2022.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Methods in Ecology and Evolution
#2,391
of 2,442 outputs
Outputs of similar age
#406,444
of 532,105 outputs
Outputs of similar age from Methods in Ecology and Evolution
#52
of 53 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one is in the 1st percentile – i.e., 1% 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 532,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.