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Marginalizing Sample Consensus

Overview of attention for article published in IEEE Transactions on Software Engineering, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
124 Mendeley
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Article details
Title
Marginalizing Sample Consensus
Published in
IEEE Transactions on Software Engineering, October 2022
DOI 10.1109/tpami.2021.3103562
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 20%
Student > Master 21 17%
Researcher 10 8%
Other 6 5%
Student > Doctoral Student 5 4%
Other 11 9%
Unknown 46 37%
Readers by discipline
Readers by discipline Count As %
Computer Science 49 40%
Engineering 14 11%
Mathematics 5 4%
Medicine and Dentistry 2 2%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 3 2%
Unknown 50 40%
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 21 November 2023.
All research outputs
#11,907,600
of 34,383,983 outputs
Outputs from IEEE Transactions on Software Engineering
#3,543
of 7,916 outputs
Outputs of similar age
#160,980
of 465,715 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#66
of 249 outputs
Altmetric has tracked 34,383,983 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 7,916 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 53% 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 465,715 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 249 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 61% of its contemporaries.