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A comprehensive survey of anomaly detection techniques for high dimensional big data

Overview of attention for article published in Journal of Big Data, July 2020
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
wikipedia
1 Wikipedia page

Readers on

mendeley
404 Mendeley
Title
A comprehensive survey of anomaly detection techniques for high dimensional big data
Published in
Journal of Big Data, July 2020
DOI 10.1186/s40537-020-00320-x
Authors

Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt (Jack) Singh

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 404 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 404 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 56 14%
Student > Ph. D. Student 54 13%
Researcher 25 6%
Unspecified 19 5%
Student > Bachelor 16 4%
Other 64 16%
Unknown 170 42%
Readers by discipline Count As %
Computer Science 122 30%
Engineering 40 10%
Unspecified 19 5%
Mathematics 12 3%
Physics and Astronomy 7 2%
Other 21 5%
Unknown 183 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 08 November 2023.
All research outputs
#2,666,148
of 24,775,802 outputs
Outputs from Journal of Big Data
#51
of 373 outputs
Outputs of similar age
#68,418
of 403,807 outputs
Outputs of similar age from Journal of Big Data
#6
of 20 outputs
Altmetric has tracked 24,775,802 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 373 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 86% 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 403,807 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 82% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.