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A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams

Overview of attention for article published in Big Data and Cognitive Computing, December 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 X users
patent
2 patents

Readers on

mendeley
443 Mendeley
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Article details
Title
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Published in
Big Data and Cognitive Computing, December 2020
DOI 10.3390/bdcc5010001
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 443 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 443 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 41 9%
Student > Master 28 6%
Student > Bachelor 23 5%
Lecturer 20 5%
Researcher 20 5%
Other 35 8%
Unknown 276 62%
Readers by discipline
Readers by discipline Count As %
Computer Science 61 14%
Engineering 43 10%
Business, Management and Accounting 10 2%
Unspecified 7 2%
Agricultural and Biological Sciences 6 1%
Other 36 8%
Unknown 280 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 June 2026.
All research outputs
#6,801,805
of 32,732,593 outputs
Outputs from Big Data and Cognitive Computing
#64
of 711 outputs
Outputs of similar age
#139,118
of 560,231 outputs
Outputs of similar age from Big Data and Cognitive Computing
#2
of 12 outputs
Altmetric has tracked 32,732,593 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 711 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 90% 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 560,231 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 75% 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.