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X Demographics
Mendeley readers
Title |
Non-linearity of Metabolic Pathways Critically Influences the Choice of Machine Learning Model
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Published in |
Frontiers in Artificial Intelligence, June 2022
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DOI | 10.3389/frai.2022.744755 |
Pubmed ID | |
Authors |
Ophélie Lo-Thong-Viramoutou, Philippe Charton, Xavier F. Cadet, Brigitte Grondin-Perez, Emma Saavedra, Cédric Damour, Frédéric Cadet |
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 | 3 | 60% |
Switzerland | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Lecturer | 1 | 5% |
Researcher | 1 | 5% |
Professor > Associate Professor | 1 | 5% |
Other | 0 | 0% |
Unknown | 13 | 68% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 11% |
Computer Science | 2 | 11% |
Chemical Engineering | 1 | 5% |
Social Sciences | 1 | 5% |
Unknown | 13 | 68% |