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X Demographics
Mendeley readers
| Title |
A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic Antagonistic Antibody Programs
|
|---|---|
| Published in |
Frontiers in Bioinformatics, September 2021
|
| DOI | 10.3389/fbinf.2021.731340 |
| Pubmed ID | |
| Authors |
Georgi I. Kapitanov, Jeffrey R. Chabot, Jatin Narula, Mahua Roy, Hendrik Neubert, Joe Palandra, Vahid Farrokhi, Jay S. Johnson, Robert Webster, Hannah M. Jones |
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 % |
|---|---|---|
| India | 1 | 33% |
| Sweden | 1 | 33% |
| Switzerland | 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Student > Ph. D. Student | 2 | 22% |
| Student > Doctoral Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 11% |
| Mathematics | 1 | 11% |
| Chemistry | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 5 | 56% |