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Single‐cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis

Overview of attention for article published in Clinical and Translational Medicine, April 2017
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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30 X users
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1 Facebook page

Citations

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57 Dimensions

Readers on

mendeley
169 Mendeley
Title
Single‐cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis
Published in
Clinical and Translational Medicine, April 2017
DOI 10.1186/s40169-017-0145-6
Pubmed ID
Authors

Darrell L. Ellsworth, Heather L. Blackburn, Craig D. Shriver, Shahrooz Rabizadeh, Patrick Soon-Shiong, Rachel E. Ellsworth

Abstract

Extensive genomic and transcriptomic heterogeneity in human cancer often negatively impacts treatment efficacy and survival, thus posing a significant ongoing challenge for modern treatment regimens. State-of-the-art DNA- and RNA-sequencing methods now provide high-resolution genomic and gene expression portraits of individual cells, facilitating the study of complex molecular heterogeneity in cancer. Important developments in single-cell sequencing (SCS) technologies over the past 5 years provide numerous advantages over traditional sequencing methods for understanding the complexity of carcinogenesis, but significant hurdles must be overcome before SCS can be clinically useful. In this review, we: (1) highlight current methodologies and recent technological advances for isolating single cells, single-cell whole-genome and whole-transcriptome amplification using minute amounts of nucleic acids, and SCS, (2) summarize research investigating molecular heterogeneity at the genomic and transcriptomic levels and how this heterogeneity affects clonal evolution and metastasis, and (3) discuss the promise for integrating SCS in the clinical care arena for improved patient care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 168 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 22%
Student > Ph. D. Student 36 21%
Student > Bachelor 22 13%
Student > Master 11 7%
Student > Doctoral Student 8 5%
Other 26 15%
Unknown 28 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 51 30%
Agricultural and Biological Sciences 39 23%
Medicine and Dentistry 21 12%
Computer Science 7 4%
Immunology and Microbiology 5 3%
Other 13 8%
Unknown 33 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 September 2017.
All research outputs
#1,701,718
of 25,382,440 outputs
Outputs from Clinical and Translational Medicine
#64
of 1,060 outputs
Outputs of similar age
#32,535
of 324,619 outputs
Outputs of similar age from Clinical and Translational Medicine
#1
of 5 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 324,619 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 89% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them