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UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery

Overview of attention for article published in Remote Sensing, October 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
133 Mendeley
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Title
UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery
Published in
Remote Sensing, October 2017
DOI 10.3390/rs9101020
Authors

Emily Sturdivant, Erika Lentz, E. Robert Thieler, Amy Farris, Kathryn Weber, David Remsen, Simon Miner, Rachel Henderson

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 21%
Researcher 25 19%
Student > Master 20 15%
Student > Doctoral Student 9 7%
Student > Bachelor 8 6%
Other 16 12%
Unknown 27 20%
Readers by discipline Count As %
Earth and Planetary Sciences 34 26%
Environmental Science 32 24%
Agricultural and Biological Sciences 10 8%
Engineering 7 5%
Computer Science 4 3%
Other 10 8%
Unknown 36 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 June 2021.
All research outputs
#6,717,345
of 25,374,647 outputs
Outputs from Remote Sensing
#2,516
of 13,332 outputs
Outputs of similar age
#99,502
of 331,579 outputs
Outputs of similar age from Remote Sensing
#28
of 215 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,332 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 81% 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 331,579 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 69% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.