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Calibration of an evapotranspiration algorithm in a semiarid sagebrush steppe using a 3‐ha lysimeter and Landsat normalized difference vegetation index data

Overview of attention for article published in Ecohydrology, March 2022
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1 X user

Citations

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10 Mendeley
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Title
Calibration of an evapotranspiration algorithm in a semiarid sagebrush steppe using a 3‐ha lysimeter and Landsat normalized difference vegetation index data
Published in
Ecohydrology, March 2022
DOI 10.1002/eco.2413
Authors

Christopher J. Jarchow, William J. Waugh, Pamela L. Nagler

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Unspecified 1 10%
Researcher 1 10%
Lecturer 1 10%
Unknown 5 50%
Readers by discipline Count As %
Unspecified 1 10%
Environmental Science 1 10%
Agricultural and Biological Sciences 1 10%
Earth and Planetary Sciences 1 10%
Engineering 1 10%
Other 0 0%
Unknown 5 50%
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 25 June 2022.
All research outputs
#18,365,132
of 22,745,803 outputs
Outputs from Ecohydrology
#415
of 753 outputs
Outputs of similar age
#336,481
of 463,814 outputs
Outputs of similar age from Ecohydrology
#7
of 8 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 753 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 35th percentile – i.e., 35% 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 463,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.