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Deep learning-based detection of qanat underground water distribution systems using HEXAGON spy satellite imagery

Overview of attention for article published in Journal of Archaeological Science, November 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
24 X users

Readers on

mendeley
2 Mendeley
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Title
Deep learning-based detection of qanat underground water distribution systems using HEXAGON spy satellite imagery
Published in
Journal of Archaeological Science, November 2024
DOI 10.1016/j.jas.2024.106053
Authors

Nazarij Buławka, Hector A. Orengo, Iban Berganzo-Besga

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 100%
Readers by discipline Count As %
Unspecified 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 115. 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 27 September 2024.
All research outputs
#394,531
of 26,595,441 outputs
Outputs from Journal of Archaeological Science
#103
of 3,113 outputs
Outputs of similar age
#312
of 27,831 outputs
Outputs of similar age from Journal of Archaeological Science
#2
of 17 outputs
Altmetric has tracked 26,595,441 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. 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 27,831 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 99% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.