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Digital Elevation Models: Terminology and Definitions

Overview of attention for article published in Remote Sensing, September 2021
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
32 X users
facebook
1 Facebook page

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
231 Mendeley
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Title
Digital Elevation Models: Terminology and Definitions
Published in
Remote Sensing, September 2021
DOI 10.3390/rs13183581
Authors

Peter L. Guth, Adriaan Van Niekerk, Carlos H. Grohmann, Jan-Peter Muller, Laurence Hawker, Igor V. Florinsky, Dean Gesch, Hannes I. Reuter, Virginia Herrera-Cruz, Serge Riazanoff, Carlos López-Vázquez, Claudia C. Carabajal, Clément Albinet, Peter Strobl

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 231 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 11%
Researcher 22 10%
Student > Bachelor 22 10%
Student > Ph. D. Student 18 8%
Student > Doctoral Student 13 6%
Other 33 14%
Unknown 97 42%
Readers by discipline Count As %
Earth and Planetary Sciences 42 18%
Environmental Science 24 10%
Engineering 23 10%
Agricultural and Biological Sciences 12 5%
Computer Science 6 3%
Other 21 9%
Unknown 103 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 08 February 2023.
All research outputs
#1,685,183
of 25,339,932 outputs
Outputs from Remote Sensing
#416
of 13,240 outputs
Outputs of similar age
#38,122
of 424,561 outputs
Outputs of similar age from Remote Sensing
#18
of 431 outputs
Altmetric has tracked 25,339,932 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,240 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% 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 424,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 431 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 96% of its contemporaries.