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Computing LTS Regression for Large Data Sets

Overview of attention for article published in Data Mining and Knowledge Discovery, February 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

dimensions_citation
374 Dimensions

Readers on

mendeley
149 Mendeley
citeulike
1 CiteULike
Title
Computing LTS Regression for Large Data Sets
Published in
Data Mining and Knowledge Discovery, February 2006
DOI 10.1007/s10618-005-0024-4
Authors

PETER J. ROUSSEEUW, KATRIEN VAN DRIESSEN

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
France 2 1%
Switzerland 1 <1%
Netherlands 1 <1%
Hong Kong 1 <1%
Canada 1 <1%
China 1 <1%
Thailand 1 <1%
United States 1 <1%
Other 1 <1%
Unknown 136 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 24%
Researcher 27 18%
Professor > Associate Professor 11 7%
Student > Bachelor 9 6%
Professor 8 5%
Other 27 18%
Unknown 31 21%
Readers by discipline Count As %
Computer Science 24 16%
Mathematics 23 15%
Engineering 21 14%
Physics and Astronomy 11 7%
Agricultural and Biological Sciences 6 4%
Other 28 19%
Unknown 36 24%
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 29 April 2020.
All research outputs
#5,017,235
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#67
of 546 outputs
Outputs of similar age
#20,688
of 159,013 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% 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 159,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them