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Self‐organizing maps as a dimension reduction approach for spatial global sensitivity analysis visualization

Overview of attention for article published in Transactions in GIS, June 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 (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
24 Mendeley
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Title
Self‐organizing maps as a dimension reduction approach for spatial global sensitivity analysis visualization
Published in
Transactions in GIS, June 2022
DOI 10.1111/tgis.12963
Authors

Seda Şalap‐Ayça

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 4%
Unknown 23 96%
Readers by discipline Count As %
Environmental Science 1 4%
Unknown 23 96%
Attention Score in Context

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 03 July 2022.
All research outputs
#5,805,875
of 24,002,307 outputs
Outputs from Transactions in GIS
#76
of 453 outputs
Outputs of similar age
#107,314
of 429,443 outputs
Outputs of similar age from Transactions in GIS
#4
of 12 outputs
Altmetric has tracked 24,002,307 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 453 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 83% 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 429,443 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 74% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.