Computational Drug Discovery and Design
Springer US
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X Demographics
Mendeley readers
| Chapter title |
Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence
|
|---|---|
| Book title |
Computational Drug Discovery and Design
|
| Published by |
Humana, New York, NY, September 2023
|
| DOI | 10.1007/978-1-0716-3441-7_18 |
| Book ISBNs |
978-1-07-163440-0, 978-1-07-163441-7
|
| Authors |
Aguilera-Puga, Mariana d. C., Cancelarich, Natalia L., Marani, Mariela M., de la Fuente-Nunez, Cesar, Plisson, Fabien |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 3 | 21% |
| United States | 2 | 14% |
| Argentina | 2 | 14% |
| Hungary | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 5 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 31% |
| Other | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 31% |
| Engineering | 2 | 15% |
| Agricultural and Biological Sciences | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Chemistry | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |