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Incremental topological segmentation for semi-structured environments using discretized GVG

Overview of attention for article published in Autonomous Robots, August 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
2 X users

Citations

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29 Dimensions

Readers on

mendeley
34 Mendeley
Title
Incremental topological segmentation for semi-structured environments using discretized GVG
Published in
Autonomous Robots, August 2014
DOI 10.1007/s10514-014-9398-8
Authors

Ming Liu, Francis Colas, Luc Oth, Roland Siegwart

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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
France 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 5 15%
Student > Bachelor 4 12%
Researcher 4 12%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 7 21%
Readers by discipline Count As %
Computer Science 12 35%
Engineering 12 35%
Social Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2014.
All research outputs
#14,655,881
of 22,759,618 outputs
Outputs from Autonomous Robots
#326
of 518 outputs
Outputs of similar age
#124,962
of 230,503 outputs
Outputs of similar age from Autonomous Robots
#8
of 22 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 518 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 230,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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 54% of its contemporaries.