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eZ flow metrics: Using z‐scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam

Overview of attention for article published in River Research & Applications, August 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
3 Mendeley
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Title
eZ flow metrics: Using z‐scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam
Published in
River Research & Applications, August 2024
DOI 10.1002/rra.4360
Authors

Emily C. Palmquist, Bridget R. Deemer, Anya N. Metcalfe, Theodore A. Kennedy, Lucas S. Bair, Helen C. Fairley, Paul E. Grams, Joel B. Sankey, Charles B. Yackulic

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Environmental Science 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 August 2024.
All research outputs
#16,658,713
of 26,429,553 outputs
Outputs from River Research & Applications
#540
of 984 outputs
Outputs of similar age
#115,867
of 270,233 outputs
Outputs of similar age from River Research & Applications
#7
of 17 outputs
Altmetric has tracked 26,429,553 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 984 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 42nd percentile – i.e., 42% 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 270,233 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 54% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.