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IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection

Overview of attention for article published in arXiv, July 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
6 X users

Citations

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14 Dimensions

Readers on

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10 Mendeley
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Title
IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection
Published in
arXiv, July 2022
DOI 10.3389/frai.2022.943135
Pubmed ID
Authors

Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert, Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Researcher 1 10%
Lecturer > Senior Lecturer 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 2 20%
Physics and Astronomy 2 20%
Unknown 6 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 July 2022.
All research outputs
#15,754,982
of 25,392,582 outputs
Outputs from arXiv
#238,761
of 915,717 outputs
Outputs of similar age
#209,897
of 433,855 outputs
Outputs of similar age from arXiv
#7,325
of 27,576 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,717 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 70% 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 433,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,576 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.