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X Demographics
Mendeley readers
Title |
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2021
|
DOI | 10.3389/frai.2021.576892 |
Pubmed ID | |
Authors |
Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 93 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 11% |
Researcher | 8 | 9% |
Student > Ph. D. Student | 7 | 8% |
Student > Bachelor | 6 | 6% |
Student > Doctoral Student | 3 | 3% |
Other | 11 | 12% |
Unknown | 48 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 20 | 22% |
Computer Science | 14 | 15% |
Business, Management and Accounting | 2 | 2% |
Physics and Astronomy | 2 | 2% |
Arts and Humanities | 1 | 1% |
Other | 3 | 3% |
Unknown | 51 | 55% |