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X Demographics
Mendeley readers
| Title |
Predicting Survival after Allogeneic Hematopoietic Cell Transplantation in Myelofibrosis: Performance of the Myelofibrosis Transplant Scoring System (MTSS) and Development of a New Prognostic Model
|
|---|---|
| Published in |
Transplantation and Cellular Therapy, July 2020
|
| DOI | 10.1016/j.bbmt.2020.07.022 |
| Pubmed ID | |
| Authors |
Juan-Carlos Hernández-Boluda, Arturo Pereira, Alberto Alvarez-Larran, Ana-Africa Martín, Ana Benzaquen, Lourdes Aguirre, Elvira Mora, Pedro González, Jorge Mora, Nieves Dorado, Antonia Sampol, Valentín García-Gutiérrez, Oriana López-Godino, María-Laura Fox, Juan Luis Reguera, Manuel Pérez-Encinas, María-Jesús Pascual, Blanca Xicoy, Rocío Parody, Leslie González-Pinedo, Ignacio Español, Alejandro Avendaño, Juan-Gonzalo Correa, Carlos Vallejo, Manuel Jurado, Irene García-Cadenas, Santiago Osorio, María-Antonia Durán, Fermín Sánchez-Guijo, Francisco Cervantes, José-Luis Piñana |
X Demographics
The data shown below were collected from the profiles of 19 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 | 10 | 53% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 79% |
| Practitioners (doctors, other healthcare professionals) | 4 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 15% |
| Professor > Associate Professor | 2 | 10% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 30% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Environmental Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 45% |