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Georeferencing of terrestrial radar images in geomonitoring using kernel correlation

Overview of attention for article published in International Journal of Remote Sensing, November 2023
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1 X user

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3 Mendeley
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Title
Georeferencing of terrestrial radar images in geomonitoring using kernel correlation
Published in
International Journal of Remote Sensing, November 2023
DOI 10.1080/01431161.2023.2274321
Authors

Lorenz Schmid, Tomislav Medic, Brian D. Collins, Lorenz Meier, Andreas Wieser

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Earth and Planetary Sciences 1 33%
Engineering 1 33%
Unknown 1 33%
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 21 November 2023.
All research outputs
#20,210,364
of 24,846,849 outputs
Outputs from International Journal of Remote Sensing
#1,645
of 2,024 outputs
Outputs of similar age
#143,496
of 211,716 outputs
Outputs of similar age from International Journal of Remote Sensing
#11
of 34 outputs
Altmetric has tracked 24,846,849 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 4th percentile – i.e., 4% 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 211,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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.