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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
2 X users
patent
1 patent
guideline
1 clinical guideline source

Readers on

mendeley
185 Mendeley
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Article details
Title
Impact of NPM1/FLT3-ITD genotypes defined by the 2017 European LeukemiaNet in patients with acute myeloid leukemia
Published in
Blood, January 2020
DOI 10.1182/blood.2019002697
Pubmed ID
Authors
Abstract

Patients with AML harboring FLT3 internal tandem duplications (ITD) have poor outcomes, in particular AML with a high ({greater than or equal to}0.5) mutant-to-wildtype allelic ratio (AR). The 2017 European LeukemiaNet (ELN) recommendations defined four distinct FLT3-ITD genotypes based on the ITD-AR and the NPM1 mutational status. In this retrospective, exploratory study, we investigated the prognostic and predictive impact of the NPM1/FLT3-ITD genotypes categorized according to the 2017 ELN risk groups in patients randomized within the RATIFY trial evaluating the addition of midostaurin to standard chemotherapy. The four NPM1/FLT3-ITD genotypes significantly differed with regard to clinical and concurrent genetic features. Complete ELN risk categorization could be done in 318 of 549 trial patients with FLT3-ITD AML. Significant factors for response after one or two induction cycles were ELN risk group and white blood cell (WBC) counts; treatment with midostaurin had no influence. Overall survival (OS) differed significantly between ELN risk groups with estimated 5-year OS probabilities of 0.63, 0.43, and 0.33 for favorable-, intermediate- and adverse-risk groups, respectively (P<0.001). Multivariate Cox model for OS using allogeneic hematopoietic-cell transplantation (HCT) in first complete remission as a time-dependent variable revealed treatment with midostaurin, allogeneic HCT, ELN favorable-risk group, and lower WBC counts as significant favorable factors. In this model, there was a consistent beneficial effect of midostaurin across ELN risk groups.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 24 13%
Other 18 10%
Student > Bachelor 16 9%
Professor > Associate Professor 13 7%
Student > Doctoral Student 9 5%
Other 30 16%
Unknown 75 41%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 71 38%
Biochemistry, Genetics and Molecular Biology 12 6%
Nursing and Health Professions 2 1%
Economics, Econometrics and Finance 2 1%
Engineering 2 1%
Other 12 6%
Unknown 84 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 December 2023.
All research outputs
#7,110,119
of 34,089,221 outputs
Outputs from Blood
#14,898
of 46,336 outputs
Outputs of similar age
#122,535
of 519,881 outputs
Outputs of similar age from Blood
#51
of 164 outputs
Altmetric has tracked 34,089,221 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 46,336 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 68% 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 519,881 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 76% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.