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Evaluation of post-hoc interpretability methods in time-series classification

Overview of attention for article published in Nature Machine Intelligence, March 2023
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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 (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
11 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Evaluation of post-hoc interpretability methods in time-series classification
Published in
Nature Machine Intelligence, March 2023
DOI 10.1038/s42256-023-00620-w
Authors

Hugues Turbé, Mina Bjelogrlic, Christian Lovis, Gianmarco Mengaldo

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Researcher 5 12%
Student > Doctoral Student 3 7%
Student > Master 2 5%
Lecturer > Senior Lecturer 1 2%
Other 3 7%
Unknown 16 39%
Readers by discipline Count As %
Computer Science 8 20%
Engineering 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Medicine and Dentistry 2 5%
Business, Management and Accounting 1 2%
Other 7 17%
Unknown 18 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 03 July 2023.
All research outputs
#683,128
of 25,079,481 outputs
Outputs from Nature Machine Intelligence
#188
of 723 outputs
Outputs of similar age
#15,016
of 414,803 outputs
Outputs of similar age from Nature Machine Intelligence
#11
of 41 outputs
Altmetric has tracked 25,079,481 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 723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.6. 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 414,803 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 96% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.