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X Demographics
Mendeley readers
| Title |
Prediction of Adverse Drug Reaction Linked to Protein Targets Using Network-Based Information and Machine Learning
|
|---|---|
| Published in |
Frontiers in Bioinformatics, July 2022
|
| DOI | 10.3389/fbinf.2022.906644 |
| Pubmed ID | |
| Authors |
Cristiano Galletti, Joaquim Aguirre-Plans, Baldo Oliva, Narcis Fernandez-Fuentes |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 2 | 13% |
| Professor | 2 | 13% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 27% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 33% |