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

Overview of attention for article published in Insights into Imaging, November 2021
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Citations

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Readers on

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5 Mendeley
Title
Reply to Letter to the Editor on “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
Published in
Insights into Imaging, November 2021
DOI 10.1186/s13244-021-01088-1
Pubmed ID
Authors

Mirjam Pot, Barbara Prainsack

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Philosophy 1 20%
Medicine and Dentistry 1 20%
Engineering 1 20%
Unknown 2 40%