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A Statistical Method to Predict Flow Permanence in Dryland Streams from Time Series of Stream Temperature

Overview of attention for article published in Water, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
38 Mendeley
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Title
A Statistical Method to Predict Flow Permanence in Dryland Streams from Time Series of Stream Temperature
Published in
Water, December 2017
DOI 10.3390/w9120946
Authors

Ivan Arismendi, Jason B. Dunham, Michael P. Heck, Luke D. Schultz, David Hockman-Wert

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Master 7 18%
Student > Ph. D. Student 5 13%
Professor 3 8%
Student > Postgraduate 3 8%
Other 5 13%
Unknown 5 13%
Readers by discipline Count As %
Environmental Science 15 39%
Agricultural and Biological Sciences 6 16%
Earth and Planetary Sciences 4 11%
Business, Management and Accounting 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 10 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 February 2022.
All research outputs
#6,873,721
of 23,033,713 outputs
Outputs from Water
#1,153
of 5,584 outputs
Outputs of similar age
#135,614
of 439,675 outputs
Outputs of similar age from Water
#20
of 126 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,584 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 439,675 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 68% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.