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Yes we care!-Certification for machine learning methods through the care label framework

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

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
9 X users

Readers on

mendeley
10 Mendeley
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Title
Yes we care!-Certification for machine learning methods through the care label framework
Published in
arXiv, September 2022
DOI 10.3389/frai.2022.975029
Pubmed ID
Authors

Katharina J. Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 > Master 2 20%
Professor > Associate Professor 1 10%
Lecturer 1 10%
Researcher 1 10%
Unknown 5 50%
Readers by discipline Count As %
Computer Science 2 20%
Agricultural and Biological Sciences 1 10%
Economics, Econometrics and Finance 1 10%
Physics and Astronomy 1 10%
Design 1 10%
Other 0 0%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 September 2022.
All research outputs
#7,269,566
of 25,387,668 outputs
Outputs from arXiv
#123,609
of 915,148 outputs
Outputs of similar age
#131,347
of 434,855 outputs
Outputs of similar age from arXiv
#4,033
of 30,636 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 434,855 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 30,636 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.