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X Demographics
Mendeley readers
Title |
An Introductory Review of Deep Learning for Prediction Models With Big Data
|
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Published in |
Frontiers in Artificial Intelligence, February 2020
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DOI | 10.3389/frai.2020.00004 |
Pubmed ID | |
Authors |
Frank Emmert-Streib, Zhen Yang, Han Feng, Shailesh Tripathi, Matthias Dehmer |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Switzerland | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 803 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 803 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 111 | 14% |
Student > Master | 87 | 11% |
Student > Bachelor | 62 | 8% |
Researcher | 58 | 7% |
Lecturer | 33 | 4% |
Other | 95 | 12% |
Unknown | 357 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 128 | 16% |
Engineering | 106 | 13% |
Biochemistry, Genetics and Molecular Biology | 31 | 4% |
Agricultural and Biological Sciences | 23 | 3% |
Physics and Astronomy | 21 | 3% |
Other | 116 | 14% |
Unknown | 378 | 47% |