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X Demographics
Mendeley readers
| Title |
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)—estimation of adverse event risks
|
|---|---|
| Published in |
Trials, June 2021
|
| DOI | 10.1186/s13063-021-05354-x |
| Pubmed ID | |
| Authors |
Regina Stegherr, Claudia Schmoor, Jan Beyersmann, Kaspar Rufibach, Valentine Jehl, Andreas Brückner, Lewin Eisele, Thomas Künzel, Katrin Kupas, Frank Langer, Friedhelm Leverkus, Anja Loos, Christiane Norenberg, Florian Voss, Tim Friede |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
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% |
| Other | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 2 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 11% |
| Computer Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Design | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |