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X Demographics
Mendeley readers
| Title |
De novo design and bioactivity prediction of SARS-CoV-2 main protease inhibitors using recurrent neural network-based transfer learning
|
|---|---|
| Published in |
BMC Chemistry, February 2021
|
| DOI | 10.1186/s13065-021-00737-2 |
| Pubmed ID | |
| Authors |
Marcos V. S. Santana, Floriano P. Silva-Jr |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 33% |
| Brazil | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 9% |
| Researcher | 10 | 9% |
| Student > Master | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 8 | 7% |
| Other | 24 | 22% |
| Unknown | 37 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 11% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Medicine and Dentistry | 8 | 7% |
| Computer Science | 8 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
| Other | 26 | 24% |
| Unknown | 38 | 35% |