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Explainable artificial intelligence in the spatial domain ( X‐GeoAI )

Overview of attention for article published in Transactions in GIS, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
8 tweeters

Readers on

mendeley
21 Mendeley
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Title
Explainable artificial intelligence in the spatial domain ( X‐GeoAI )
Published in
Transactions in GIS, September 2022
DOI 10.1111/tgis.12996
Authors

Emmanuel Papadakis, Ben Adams, Song Gao, Bruno Martins, George Baryannis, Alina Ristea

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 21 100%
Readers by discipline Count As %
Unknown 21 100%

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 30 September 2022.
All research outputs
#5,468,085
of 22,366,177 outputs
Outputs from Transactions in GIS
#81
of 428 outputs
Outputs of similar age
#76,056
of 286,225 outputs
Outputs of similar age from Transactions in GIS
#1
of 7 outputs
Altmetric has tracked 22,366,177 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 428 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% 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 286,225 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 73% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them