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Everything is varied: The surprising impact of instantial variation on ML reliability

Overview of attention for article published in Applied Soft Computing, October 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 1,107)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
8 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Everything is varied: The surprising impact of instantial variation on ML reliability
Published in
Applied Soft Computing, October 2023
DOI 10.1016/j.asoc.2023.110644
Authors

Andrea Campagner, Lorenzo Famiglini, Anna Carobene, Federico Cabitza

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 17%
Professor 1 17%
Student > Bachelor 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 3 50%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 02 March 2024.
All research outputs
#2,629,029
of 26,020,829 outputs
Outputs from Applied Soft Computing
#23
of 1,107 outputs
Outputs of similar age
#43,666
of 364,121 outputs
Outputs of similar age from Applied Soft Computing
#1
of 36 outputs
Altmetric has tracked 26,020,829 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 1,107 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 97% 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 364,121 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 88% of its contemporaries.
We're also able to compare this research output to 36 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 97% of its contemporaries.