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Near-Field Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 U.S. Geological Survey Streamgages

Overview of attention for article published in Remote Sensing, April 2020
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1 X user

Citations

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25 Dimensions

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30 Mendeley
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Title
Near-Field Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 U.S. Geological Survey Streamgages
Published in
Remote Sensing, April 2020
DOI 10.3390/rs12081296
Authors

John W. Fulton, Christopher A. Mason, John R. Eggleston, Matthew J. Nicotra, Chao-Lin Chiu, Mark F. Henneberg, Heather R. Best, Jay R. Cederberg, Stephen R. Holnbeck, R. Russell Lotspeich, Christopher D. Laveau, Tommaso Moramarco, Mark E. Jones, Jonathan J. Gourley, Daniel Wasielewski

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 20%
Student > Ph. D. Student 5 17%
Student > Master 4 13%
Other 2 7%
Lecturer 1 3%
Other 2 7%
Unknown 10 33%
Readers by discipline Count As %
Engineering 9 30%
Environmental Science 5 17%
Earth and Planetary Sciences 3 10%
Arts and Humanities 1 3%
Agricultural and Biological Sciences 1 3%
Other 0 0%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 August 2020.
All research outputs
#20,628,258
of 23,220,133 outputs
Outputs from Remote Sensing
#9,491
of 11,608 outputs
Outputs of similar age
#320,024
of 374,474 outputs
Outputs of similar age from Remote Sensing
#462
of 647 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,608 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 374,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 647 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.