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Letter to the editor: “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”

Overview of attention for article published in Insights into Imaging, June 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
Title
Letter to the editor: “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
Published in
Insights into Imaging, June 2021
DOI 10.1186/s13244-021-01022-5
Pubmed ID
Authors

Antoine Iannessi, Hubert Beaumont, Anne Sophie Bertrand

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 38%
Professor 2 13%
Researcher 2 13%
Other 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 4 25%
Readers by discipline Count As %
Medicine and Dentistry 6 38%
Engineering 3 19%
Computer Science 2 13%
Social Sciences 1 6%
Unknown 4 25%
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 26 October 2021.
All research outputs
#6,636,084
of 24,217,893 outputs
Outputs from Insights into Imaging
#380
of 1,072 outputs
Outputs of similar age
#126,438
of 407,265 outputs
Outputs of similar age from Insights into Imaging
#18
of 40 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 64% 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 407,265 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 68% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.