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Mass Cytometric Functional Profiling of Acute Myeloid Leukemia Defines Cell-Cycle and Immunophenotypic Properties That Correlate with Known Responses to Therapy

Overview of attention for article published in Cancer Discovery, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
135 Mendeley
citeulike
2 CiteULike
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Title
Mass Cytometric Functional Profiling of Acute Myeloid Leukemia Defines Cell-Cycle and Immunophenotypic Properties That Correlate with Known Responses to Therapy
Published in
Cancer Discovery, June 2015
DOI 10.1158/2159-8290.cd-15-0298
Pubmed ID
Authors

Gregory K. Behbehani, Nikolay Samusik, Zach B. Bjornson, Wendy J. Fantl, Bruno C. Medeiros, Garry P. Nolan

Abstract

Acute myeloid leukemia (AML) is characterized by a high relapse rate that has been attributed to the quiescence of leukemia stem cells (LSCs), which renders them resistant to chemotherapy. However, this hypothesis is largely supported by indirect evidence and fails to explain the large differences in relapse rates across AML subtypes. To address this, bone marrow aspirates from 41 AML patients and five healthy donors were analyzed by high-dimensional mass cytometry. All patients displayed immunophenotypic and intracellular signaling abnormalities within CD34+CD38low populations and several karyotype and genotype-specific surface marker patterns were identified. The immunophenotypic stem and early progenitor cell populations from patients with clinically favorable core-binding factor AML demonstrated a five-fold higher fraction of cells in S-phase compared to other AML samples. Conversely, LSCs in less clinically favorable FLT3-ITD AML exhibited dramatic reductions in S-phase fraction. Mass cytometry also allowed direct observation of the in vivo effects of cytotoxic chemotherapy.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Korea, Republic of 1 <1%
Czechia 1 <1%
Unknown 130 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 28%
Student > Ph. D. Student 21 16%
Student > Master 18 13%
Other 15 11%
Student > Postgraduate 9 7%
Other 22 16%
Unknown 12 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 25%
Biochemistry, Genetics and Molecular Biology 26 19%
Medicine and Dentistry 26 19%
Immunology and Microbiology 18 13%
Chemistry 4 3%
Other 13 10%
Unknown 14 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 June 2017.
All research outputs
#2,298,137
of 17,359,532 outputs
Outputs from Cancer Discovery
#697
of 2,884 outputs
Outputs of similar age
#36,519
of 237,970 outputs
Outputs of similar age from Cancer Discovery
#16
of 71 outputs
Altmetric has tracked 17,359,532 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 75% 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 237,970 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 84% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.