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X Demographics
Mendeley readers
| Title |
A data‐driven approach to complement the A/T/(N) classification system using CSF biomarkers
|
|---|---|
| Published in |
CNS Neuroscience & Therapeutics, July 2023
|
| DOI | 10.1111/cns.14382 |
| Pubmed ID | |
| Authors |
Laura Hernández‐Lorenzo, Maria José Gil‐Moreno, Isabel Ortega‐Madueño, Maria Cruz Cárdenas, Maria Diez‐Cirarda, Alfonso Delgado‐Álvarez, Marta Palacios‐Sarmiento, Jorge Matias‐Guiu, Silvia Corrochano, José L. Ayala, Jordi A. Matias‐Guiu, for the Alzheimer's Disease Neuroimaging Initiative |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 33% |
| Ecuador | 1 | 11% |
| Argentina | 1 | 11% |
| Mexico | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Researcher | 1 | 20% |
| Lecturer | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 20% |
| Unspecified | 1 | 20% |
| Computer Science | 1 | 20% |
| Unknown | 2 | 40% |