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Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation

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

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation
Published in
Frontiers in Robotics and AI, July 2022
DOI 10.3389/frobt.2022.890013
Pubmed ID
Authors

Tomáš Vintr, Jan Blaha, Martin Rektoris, Jiří Ulrich, Tomáš Rouček, George Broughton, Zhi Yan, Tomáš Krajník

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Computer Science 1 20%
Engineering 1 20%
Unknown 3 60%
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 08 July 2022.
All research outputs
#14,117,575
of 24,138,997 outputs
Outputs from Frontiers in Robotics and AI
#673
of 1,609 outputs
Outputs of similar age
#179,242
of 424,429 outputs
Outputs of similar age from Frontiers in Robotics and AI
#23
of 80 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% 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 56% 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 424,429 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 56% of its contemporaries.
We're also able to compare this research output to 80 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 68% of its contemporaries.