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Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology

Overview of attention for article published in Frontiers in Artificial Intelligence, April 2020
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5 X users

Citations

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Readers on

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38 Mendeley
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Title
Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology
Published in
Frontiers in Artificial Intelligence, April 2020
DOI 10.3389/frai.2020.00013
Pubmed ID
Authors

Francisco Bernardo, Michael Zbyszyński, Mick Grierson, Rebecca Fiebrink

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 11%
Student > Ph. D. Student 4 11%
Lecturer 3 8%
Student > Master 3 8%
Student > Bachelor 2 5%
Other 5 13%
Unknown 17 45%
Readers by discipline Count As %
Engineering 10 26%
Computer Science 6 16%
Arts and Humanities 4 11%
Decision Sciences 1 3%
Unknown 17 45%