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A novel approach for next generation water-use mapping using Landsat and Sentinel-2 satellite data

Overview of attention for article published in Hydrological Sciences Journal, October 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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
23 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
27 Mendeley
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Title
A novel approach for next generation water-use mapping using Landsat and Sentinel-2 satellite data
Published in
Hydrological Sciences Journal, October 2020
DOI 10.1080/02626667.2020.1817461
Authors

Ramesh K. Singh, Kul Khand, Stefanie Kagone, Matthew Schauer, Gabriel B. Senay, Zhuoting Wu

Twitter Demographics

The data shown below were collected from the profiles of 23 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Doctoral Student 5 19%
Student > Ph. D. Student 5 19%
Professor 3 11%
Student > Master 3 11%
Other 2 7%
Unknown 3 11%
Readers by discipline Count As %
Engineering 8 30%
Environmental Science 6 22%
Earth and Planetary Sciences 4 15%
Social Sciences 1 4%
Agricultural and Biological Sciences 1 4%
Other 0 0%
Unknown 7 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 November 2020.
All research outputs
#1,631,646
of 19,458,329 outputs
Outputs from Hydrological Sciences Journal
#51
of 619 outputs
Outputs of similar age
#45,621
of 326,792 outputs
Outputs of similar age from Hydrological Sciences Journal
#2
of 25 outputs
Altmetric has tracked 19,458,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 619 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 326,792 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 86% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.