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Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage

Overview of attention for article published in Geo-Spatial Information Science, July 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 531)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
4 news outlets
twitter
17 X users

Readers on

mendeley
118 Mendeley
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Article details
Title
Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage
Published in
Geo-Spatial Information Science, July 2023
DOI 10.1080/10095020.2023.2234008
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 41 35%
Student > Master 6 5%
Student > Bachelor 5 4%
Other 3 3%
Lecturer 3 3%
Other 10 8%
Unknown 50 42%
Readers by discipline
Readers by discipline Count As %
Unspecified 41 35%
Engineering 8 7%
Social Sciences 6 5%
Arts and Humanities 3 3%
Chemical Engineering 2 2%
Other 7 6%
Unknown 51 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 07 March 2025.
All research outputs
#1,286,928
of 34,547,233 outputs
Outputs from Geo-Spatial Information Science
#9
of 531 outputs
Outputs of similar age
#19,764
of 392,723 outputs
Outputs of similar age from Geo-Spatial Information Science
#2
of 28 outputs
Altmetric has tracked 34,547,233 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 531 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 98% 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 392,723 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 94% of its contemporaries.
We're also able to compare this research output to 28 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 92% of its contemporaries.