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Distance-based outliers: algorithms and applications

Overview of attention for article published in The VLDB Journal, February 2000
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 366)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
1 patent
wikipedia
10 Wikipedia pages

Citations

dimensions_citation
883 Dimensions

Readers on

mendeley
392 Mendeley
citeulike
2 CiteULike
Title
Distance-based outliers: algorithms and applications
Published in
The VLDB Journal, February 2000
DOI 10.1007/s007780050006
Authors

Edwin M. Knorr, Raymond T. Ng, Vladimir Tucakov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 392 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Canada 3 <1%
Denmark 2 <1%
Germany 2 <1%
Brazil 2 <1%
Ireland 1 <1%
Italy 1 <1%
France 1 <1%
Australia 1 <1%
Other 5 1%
Unknown 371 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 29%
Student > Master 86 22%
Researcher 47 12%
Student > Bachelor 17 4%
Professor > Associate Professor 15 4%
Other 40 10%
Unknown 75 19%
Readers by discipline Count As %
Computer Science 172 44%
Engineering 68 17%
Mathematics 18 5%
Earth and Planetary Sciences 10 3%
Economics, Econometrics and Finance 6 2%
Other 32 8%
Unknown 86 22%
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 19 January 2022.
All research outputs
#4,981,964
of 23,842,189 outputs
Outputs from The VLDB Journal
#40
of 366 outputs
Outputs of similar age
#11,208
of 111,130 outputs
Outputs of similar age from The VLDB Journal
#2
of 12 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 111,130 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 83% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.