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River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2

Overview of attention for article published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, June 2022
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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4 X users

Citations

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24 Dimensions

Readers on

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24 Mendeley
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Title
River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2
Published in
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, June 2022
DOI 10.1109/jstars.2022.3187179
Authors

Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Ph. D. Student 4 17%
Student > Master 2 8%
Other 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 12 50%
Readers by discipline Count As %
Earth and Planetary Sciences 6 25%
Engineering 2 8%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Unknown 14 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 July 2022.
All research outputs
#14,292,486
of 25,392,582 outputs
Outputs from IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
#498
of 829 outputs
Outputs of similar age
#173,223
of 441,674 outputs
Outputs of similar age from IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
#8
of 20 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 829 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 39th percentile – i.e., 39% 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 441,674 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 60% of its contemporaries.
We're also able to compare this research output to 20 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 60% of its contemporaries.