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Multi-Session Visual SLAM for Illumination-Invariant Re-Localization in Indoor Environments

Overview of attention for article published in Frontiers in Robotics and AI, June 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Multi-Session Visual SLAM for Illumination-Invariant Re-Localization in Indoor Environments
Published in
Frontiers in Robotics and AI, June 2022
DOI 10.3389/frobt.2022.801886
Pubmed ID
Authors

Mathieu Labbé, François Michaud

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 9%
Student > Ph. D. Student 4 9%
Other 2 4%
Librarian 1 2%
Lecturer 1 2%
Other 4 9%
Unknown 29 64%
Readers by discipline Count As %
Engineering 11 24%
Computer Science 4 9%
Agricultural and Biological Sciences 1 2%
Unspecified 1 2%
Unknown 28 62%
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 30 June 2022.
All research outputs
#13,595,794
of 24,093,053 outputs
Outputs from Frontiers in Robotics and AI
#581
of 1,609 outputs
Outputs of similar age
#155,801
of 400,945 outputs
Outputs of similar age from Frontiers in Robotics and AI
#20
of 77 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,609 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 62% 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 400,945 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 60% of its contemporaries.
We're also able to compare this research output to 77 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 74% of its contemporaries.