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Fast Yet Effective Machine Unlearning

Overview of attention for article published in IEEE Transactions on Neural Networks and Learning Systems, September 2024
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

policy
1 policy source
twitter
8 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Fast Yet Effective Machine Unlearning
Published in
IEEE Transactions on Neural Networks and Learning Systems, September 2024
DOI 10.1109/tnnls.2023.3266233
Pubmed ID
Authors

Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan Kankanhalli

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Master 6 10%
Researcher 3 5%
Student > Bachelor 2 3%
Student > Doctoral Student 2 3%
Other 5 8%
Unknown 33 54%
Readers by discipline Count As %
Computer Science 20 33%
Engineering 4 7%
Chemical Engineering 1 2%
Unknown 36 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 June 2024.
All research outputs
#5,110,974
of 26,588,416 outputs
Outputs from IEEE Transactions on Neural Networks and Learning Systems
#219
of 3,454 outputs
Outputs of similar age
#26,740
of 142,542 outputs
Outputs of similar age from IEEE Transactions on Neural Networks and Learning Systems
#1
of 30 outputs
Altmetric has tracked 26,588,416 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,454 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 93% 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 142,542 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 81% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.