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Explainable spatiotemporal reasoning for geospatial intelligence applications

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

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Explainable spatiotemporal reasoning for geospatial intelligence applications
Published in
Transactions in GIS, May 2022
DOI 10.1111/tgis.12939
Authors

Matt Duckham, Jelena Gabela, Allison Kealy, Mustafizur Khan, Jonathan Legg, Bill Moran, Shakila Khan Rumi, Flora D. Salim, Shaila Sharmeen, Yaguang Tao, Kerry Trentelman, Maria Vasardani

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 8%
Student > Ph. D. Student 3 8%
Unspecified 2 5%
Other 1 3%
Student > Master 1 3%
Other 2 5%
Unknown 27 69%
Readers by discipline Count As %
Computer Science 5 13%
Engineering 3 8%
Unspecified 2 5%
Environmental Science 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 26 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 March 2024.
All research outputs
#13,392,948
of 23,312,088 outputs
Outputs from Transactions in GIS
#224
of 439 outputs
Outputs of similar age
#178,041
of 443,119 outputs
Outputs of similar age from Transactions in GIS
#9
of 13 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 439 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 443,119 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 58% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.