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A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence

Overview of attention for article published in International Journal of Geographical Information Science, August 2020
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2 X users

Citations

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20 Dimensions

Readers on

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50 Mendeley
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Title
A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence
Published in
International Journal of Geographical Information Science, August 2020
DOI 10.1080/13658816.2020.1805116
Authors

Ximeng Cheng, Jianying Wang, Haifeng Li, Yi Zhang, Lun Wu, Yu Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Student > Master 7 14%
Researcher 3 6%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 9 18%
Unknown 17 34%
Readers by discipline Count As %
Social Sciences 7 14%
Business, Management and Accounting 6 12%
Computer Science 5 10%
Environmental Science 4 8%
Earth and Planetary Sciences 3 6%
Other 6 12%
Unknown 19 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 August 2020.
All research outputs
#17,343,547
of 25,452,734 outputs
Outputs from International Journal of Geographical Information Science
#1
of 1 outputs
Outputs of similar age
#272,762
of 426,981 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 1 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 426,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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