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Unsupervised segmentation of unknown objects in complex environments

Overview of attention for article published in Autonomous Robots, September 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
19 Mendeley
Title
Unsupervised segmentation of unknown objects in complex environments
Published in
Autonomous Robots, September 2015
DOI 10.1007/s10514-015-9495-3
Authors

Umar Asif, Mohammed Bennamoun, Ferdous Sohel

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 3 16%
Student > Bachelor 3 16%
Student > Doctoral Student 2 11%
Researcher 2 11%
Other 5 26%
Readers by discipline Count As %
Computer Science 10 53%
Engineering 6 32%
Neuroscience 1 5%
Unspecified 1 5%
Unknown 1 5%

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 05 September 2015.
All research outputs
#6,767,118
of 12,886,764 outputs
Outputs from Autonomous Robots
#154
of 414 outputs
Outputs of similar age
#87,592
of 239,168 outputs
Outputs of similar age from Autonomous Robots
#1
of 21 outputs
Altmetric has tracked 12,886,764 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 414 research outputs from this source. They receive a mean Attention Score of 2.5. 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 239,168 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 63% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.