↓ Skip to main content

Deciphering intratumor heterogeneity using cancer genome analysis

Overview of attention for article published in Human Genetics, April 2016
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
Title
Deciphering intratumor heterogeneity using cancer genome analysis
Published in
Human Genetics, April 2016
DOI 10.1007/s00439-016-1670-x
Pubmed ID
Authors

Daeun Ryu, Je-Gun Joung, Nayoung K. D. Kim, Kyu-Tae Kim, Woong-Yang Park

Abstract

Intratumor heterogeneity within individual cancer tissues underlies the numerous phenotypes of cancer. Tumor subclones ultimately affect therapeutic outcomes due to their distinct molecular features. Drug-resistant subclones are present at a low frequency in tissues at the time of biopsy, but can also arise as a result of acquired somatic mutations. A number of different approaches have been utilized to understand the nature of intratumor heterogeneity. Clonal analysis using whole exome or genome sequencing data can help monitor subclones in the context of tumor progression. Multiregional biopsies permit the molecular characterization of subclones within tumors. Deep sequencing has also provided researchers with the ability to measure the low allele fraction variant within a small number of cells. Ultimately, single-cell sequencing will enable the identification of every minor population within a tumor microenvironment. In the clinical context, the ability to identify and monitor the subclonal architecture of a tumor is valuable for the development of precise cancer therapeutic methods.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 9 14%
Student > Doctoral Student 7 11%
Other 6 10%
Student > Master 5 8%
Other 7 11%
Unknown 16 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Biochemistry, Genetics and Molecular Biology 17 27%
Medicine and Dentistry 8 13%
Immunology and Microbiology 2 3%
Engineering 1 2%
Other 0 0%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 April 2016.
All research outputs
#18,455,405
of 22,867,327 outputs
Outputs from Human Genetics
#2,699
of 2,954 outputs
Outputs of similar age
#218,956
of 299,116 outputs
Outputs of similar age from Human Genetics
#25
of 33 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,954 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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 299,116 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.