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An Introductory Review of Deep Learning for Prediction Models With Big Data

Overview of attention for article published in Frontiers in Artificial Intelligence, February 2020
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Citations

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Title
An Introductory Review of Deep Learning for Prediction Models With Big Data
Published in
Frontiers in Artificial Intelligence, February 2020
DOI 10.3389/frai.2020.00004
Pubmed ID
Authors

Frank Emmert-Streib, Zhen Yang, Han Feng, Shailesh Tripathi, Matthias Dehmer

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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 777 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 777 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 14%
Student > Master 87 11%
Student > Bachelor 63 8%
Researcher 57 7%
Lecturer 32 4%
Other 94 12%
Unknown 336 43%
Readers by discipline Count As %
Computer Science 127 16%
Engineering 104 13%
Biochemistry, Genetics and Molecular Biology 31 4%
Agricultural and Biological Sciences 23 3%
Physics and Astronomy 20 3%
Other 115 15%
Unknown 357 46%