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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Acute myeloid leukemia with NPM1 mutation and favorable European LeukemiaNet category: outcome after preemptive intervention based on measurable residual disease
|
|---|---|
| Published in |
British Journal of Haematology, June 2020
|
| DOI | 10.1111/bjh.16857 |
| Pubmed ID | |
| Authors |
Alex Bataller, Guadalupe Oñate, Marina Diaz‐Beyá, Francesca Guijarro, Ana Garrido, Susana Vives, Mar Tormo, Montserrat Arnan, Olga Salamero, Antònia Sampol, Rosa Coll, Ferran Vall‐Llovera, Aina Oliver‐Caldés, Mònica López‐Guerra, Marta Pratcorona, Lurdes Zamora, Eva Villamon, Gaël Roué, Adoración Blanco, Josep F. Nomdedeu, Dolors Colomer, Salut Brunet, Jorge Sierra, Jordi Esteve, Grupo Cooperativo Para el Estudio y Tratamiento de las Leucemias Agudas y Mielodisplasias |
X Demographics
The data shown below were collected from the profiles of 24 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 | 13 | 54% |
| United States | 2 | 8% |
| Argentina | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Colombia | 1 | 4% |
| Unknown | 6 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 75% |
| Practitioners (doctors, other healthcare professionals) | 5 | 21% |
| Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Other | 5 | 12% |
| Professor > Associate Professor | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Student > Ph. D. Student | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 19 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 37% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Arts and Humanities | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Unknown | 21 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 August 2020.
All research outputs
#2,324,100
of 25,732,188 outputs
Outputs from British Journal of Haematology
#536
of 8,246 outputs
Outputs of similar age
#64,028
of 434,378 outputs
Outputs of similar age from British Journal of Haematology
#39
of 228 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,246 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 434,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.