The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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X Demographics
Mendeley readers
| Title |
Extracellular vesicles are a late marker of inflammation, hypercoagulability and COVID-19 severity
|
|---|---|
| Published in |
Hematology Transfusion and Cell Therapy, February 2024
|
| DOI | 10.1016/j.htct.2023.12.003 |
| Pubmed ID | |
| Authors |
Bárbara Gomes Barion, Tania Rubia Flores da Rocha, Yeh-Li Ho, Bruna de Moraes Mazetto Fonseca, Erica Okazaki, Cynthia Rothschild, Bianca Stefanello, Vanderson Geraldo Rocha, Paula Ribeiro Villaça, Fernanda A. Orsi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 20% |
| Professor | 1 | 10% |
| Unspecified | 1 | 10% |
| Researcher | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Computer Science | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 6 | 60% |