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X Demographics
Mendeley readers
| Title |
Knowledge-informed data-driven modeling for sparse identification of governing equations for microbial inactivation processes in food
|
|---|---|
| Published in |
Frontiers in Food Science and Technology, October 2022
|
| DOI | 10.3389/frfst.2022.996399 |
| Authors |
Steve Zhang, Firnaaz Ahamed, Hyun-Seob Song |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 20% |
| Researcher | 1 | 20% |
| Unknown | 3 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 20% |
| Mathematics | 1 | 20% |
| Agricultural and Biological Sciences | 1 | 20% |
| Unknown | 2 | 40% |