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The challenges of integrating explainable artificial intelligence into GeoAI

Overview of attention for article published in Transactions in GIS, April 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
44 Mendeley
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Title
The challenges of integrating explainable artificial intelligence into GeoAI
Published in
Transactions in GIS, April 2023
DOI 10.1111/tgis.13045
Authors

Jin Xing, Renee Sieber

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 11%
Researcher 4 9%
Student > Master 4 9%
Student > Ph. D. Student 3 7%
Other 2 5%
Other 3 7%
Unknown 23 52%
Readers by discipline Count As %
Computer Science 6 14%
Unspecified 5 11%
Business, Management and Accounting 2 5%
Environmental Science 1 2%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 25 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 November 2023.
All research outputs
#7,517,625
of 24,887,826 outputs
Outputs from Transactions in GIS
#122
of 460 outputs
Outputs of similar age
#126,634
of 396,492 outputs
Outputs of similar age from Transactions in GIS
#4
of 11 outputs
Altmetric has tracked 24,887,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 460 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 73% 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 396,492 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 67% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.