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X Demographics
Mendeley readers
| Title |
Protein-coding gene interaction network prediction of bioactive plant compound action against SARS-CoV-2: a novel hypothesis using bioinformatics analysis
|
|---|---|
| Published in |
Anais da Academia Brasileira de Ciências, January 2022
|
| DOI | 10.1590/0001-3765202220201380 |
| Pubmed ID | |
| Authors |
Eliane M Santos Sobrinho, Hércules O Santos, Ernane R Martins, Francine Souza Alves DA Fonseca, Lucyana C Farias, Charles M Aguilar, Ulisses A Pereira, Nilson Nicolau Junior, Matheus S Gomes, Cintya N DE Souza, João Matheus A Ravnjak, Raphael R Porto, Anna Christina DE Almeida |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Professor > Associate Professor | 1 | 25% |
| Researcher | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 25% |
| Computer Science | 1 | 25% |
| Medicine and Dentistry | 1 | 25% |
| Unknown | 1 | 25% |