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On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights

Overview of attention for article published in Big Data, December 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
29 Mendeley
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Title
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights
Published in
Big Data, December 2021
DOI 10.1089/big.2021.0069
Pubmed ID
Authors

Lingxiao Zhao, Leman Akoglu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Ph. D. Student 6 21%
Lecturer > Senior Lecturer 2 7%
Other 1 3%
Student > Doctoral Student 1 3%
Other 3 10%
Unknown 10 34%
Readers by discipline Count As %
Computer Science 12 41%
Engineering 3 10%
Decision Sciences 1 3%
Business, Management and Accounting 1 3%
Unknown 12 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 December 2021.
All research outputs
#6,589,079
of 23,310,485 outputs
Outputs from Big Data
#132
of 274 outputs
Outputs of similar age
#146,416
of 508,761 outputs
Outputs of similar age from Big Data
#1
of 6 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 51% 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 508,761 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 70% of its contemporaries.
We're also able to compare this research output to 6 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