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Evaluation of hydrologic impact of an irrigation curtailment program using Landsat satellite data

Overview of attention for article published in Hydrological Processes, February 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
20 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Evaluation of hydrologic impact of an irrigation curtailment program using Landsat satellite data
Published in
Hydrological Processes, February 2020
DOI 10.1002/hyp.13708
Authors

Naga Manohar Velpuri, Gabriel B. Senay, Matthew Schauer, C. Amanda Garcia, Ramesh K. Singh, MacKenzie Friedrichs, Stefanie Kagone, Jonathan Haynes, Terrence Conlon

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 4 31%
Unspecified 1 8%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Environmental Science 3 23%
Agricultural and Biological Sciences 2 15%
Engineering 2 15%
Unspecified 1 8%
Earth and Planetary Sciences 1 8%
Other 1 8%
Unknown 3 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 08 August 2020.
All research outputs
#2,298,454
of 18,593,253 outputs
Outputs from Hydrological Processes
#149
of 1,699 outputs
Outputs of similar age
#59,758
of 347,052 outputs
Outputs of similar age from Hydrological Processes
#11
of 58 outputs
Altmetric has tracked 18,593,253 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,699 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% 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 347,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.