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Continual learning for topological geo-localisation

Overview of attention for article published in Journal of Intelligent & Fuzzy Systems, June 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 225)
  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
3 Mendeley
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Title
Continual learning for topological geo-localisation
Published in
Journal of Intelligent & Fuzzy Systems, June 2023
DOI 10.3233/jifs-223627
Authors

Aldrich A. Cabrera-Ponce, Manuel Martin-Ortiz, Jose Martinez-Carranza

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unknown 3 100%
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 16 September 2023.
All research outputs
#8,359,292
of 25,632,496 outputs
Outputs from Journal of Intelligent & Fuzzy Systems
#50
of 225 outputs
Outputs of similar age
#137,020
of 390,724 outputs
Outputs of similar age from Journal of Intelligent & Fuzzy Systems
#4
of 5 outputs
Altmetric has tracked 25,632,496 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 77% 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 390,724 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 64% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.