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Clustering With Outlier Removal

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
111 Mendeley
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Article details
Title
Clustering With Outlier Removal
Published in
IEEE Transactions on Knowledge and Data Engineering, November 2019
DOI 10.1109/tkde.2019.2954317
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 13%
Student > Master 12 11%
Researcher 8 7%
Lecturer > Senior Lecturer 5 5%
Other 5 5%
Other 21 19%
Unknown 46 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 34 31%
Engineering 8 7%
Mathematics 6 5%
Physics and Astronomy 2 2%
Environmental Science 1 <1%
Other 5 5%
Unknown 55 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 October 2024.
All research outputs
#7,389,742
of 33,977,172 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#361
of 3,039 outputs
Outputs of similar age
#127,405
of 524,203 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#6
of 42 outputs
Altmetric has tracked 33,977,172 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,039 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 77% 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 524,203 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 74% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.