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Principles and Practice of Explainable Machine Learning

Overview of attention for article published in this source, July 2021
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8 X users
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1 Facebook page

Citations

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316 Dimensions

Readers on

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597 Mendeley
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Title
Principles and Practice of Explainable Machine Learning
Published by
Frontiers, July 2021
DOI 10.3389/fdata.2021.688969
Pubmed ID
Authors

Vaishak Belle, Ioannis Papantonis

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 597 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 597 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 15%
Researcher 73 12%
Student > Master 69 12%
Student > Bachelor 29 5%
Other 20 3%
Other 75 13%
Unknown 240 40%
Readers by discipline Count As %
Computer Science 148 25%
Engineering 52 9%
Medicine and Dentistry 19 3%
Biochemistry, Genetics and Molecular Biology 14 2%
Business, Management and Accounting 12 2%
Other 95 16%
Unknown 257 43%