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Next Generation Sequencing of Acute Myeloid Leukemia: Influencing Prognosis

Overview of attention for article published in BMC Genomics, January 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 policy source
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15 X users
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2 patents

Citations

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36 Dimensions

Readers on

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184 Mendeley
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Title
Next Generation Sequencing of Acute Myeloid Leukemia: Influencing Prognosis
Published in
BMC Genomics, January 2015
DOI 10.1186/1471-2164-16-s1-s5
Pubmed ID
Authors

Asad Muhammad Ilyas, Sultan Ahmad, Muhammad Faheem, Muhammad Imran Naseer, Taha A Kumosani, Muhammad Hussain Al-Qahtani, Mamdooh Gari, Farid Ahmed

Abstract

Acute myeloid leukemia (AML) is a clonal disorder of the blood forming cells characterized by accumulation of immature blast cells in the bone marrow and peripheral blood. Being a heterogeneous disease, AML has been the subject of numerous studies that focus on unraveling the clinical, cellular and molecular variations with the aim to better understand and treat the disease. Cytogenetic-risk stratification of AML is well established and commonly used by clinicians in therapeutic management of cases with chromosomal abnormalities. Successive inclusion of novel molecular abnormalities has substantially modified the classification and understanding of AML in the past decade. With the advent of next generation sequencing (NGS) technologies the discovery of novel molecular abnormalities has accelerated. NGS has been successfully used in several studies and has provided an unprecedented overview of molecular aberrations as well as the underlying clonal evolution in AML. The extended spectrum of abnormalities discovered by NGS is currently under extensive validation for their prognostic and therapeutic values. In this review we highlight the recent advances in the understanding of AML in the NGS era.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
India 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 180 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 17%
Student > Ph. D. Student 27 15%
Student > Bachelor 27 15%
Student > Master 22 12%
Other 14 8%
Other 21 11%
Unknown 41 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 50 27%
Medicine and Dentistry 37 20%
Agricultural and Biological Sciences 27 15%
Computer Science 3 2%
Nursing and Health Professions 3 2%
Other 19 10%
Unknown 45 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 22 June 2023.
All research outputs
#1,967,031
of 24,081,774 outputs
Outputs from BMC Genomics
#484
of 10,897 outputs
Outputs of similar age
#30,330
of 388,094 outputs
Outputs of similar age from BMC Genomics
#14
of 279 outputs
Altmetric has tracked 24,081,774 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,897 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 388,094 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.