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Engineering flexible machine learning systems by traversing functionally invariant paths

Overview of attention for article published in Nature Machine Intelligence, October 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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8 news outlets
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Title
Engineering flexible machine learning systems by traversing functionally invariant paths
Published in
Nature Machine Intelligence, October 2024
DOI 10.1038/s42256-024-00902-x
Authors

Guruprasad Raghavan, Bahey Tharwat, Surya Narayanan Hari, Dhruvil Satani, Rex Liu, Matt Thomson

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 10 October 2024.
All research outputs
#716,700
of 26,748,235 outputs
Outputs from Nature Machine Intelligence
#218
of 851 outputs
Outputs of similar age
#4,447
of 152,113 outputs
Outputs of similar age from Nature Machine Intelligence
#5
of 25 outputs
Altmetric has tracked 26,748,235 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 851 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.6. This one has gotten more attention than average, scoring higher than 74% 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 152,113 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.