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CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA

Overview of attention for article published in Genome Biology, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 4,555)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

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221 Dimensions

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445 Mendeley
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Title
CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA
Published in
Genome Biology, March 2017
DOI 10.1186/s13059-017-1191-5
Pubmed ID
Authors

Shuli Kang, Qingjiao Li, Quan Chen, Yonggang Zhou, Stacy Park, Gina Lee, Brandon Grimes, Kostyantyn Krysan, Min Yu, Wei Wang, Frank Alber, Fengzhu Sun, Steven M. Dubinett, Wenyuan Li, Xianghong Jasmine Zhou

Abstract

We propose a probabilistic method, CancerLocator, which exploits the diagnostic potential of cell-free DNA by determining not only the presence but also the location of tumors. CancerLocator simultaneously infers the proportions and the tissue-of-origin of tumor-derived cell-free DNA in a blood sample using genome-wide DNA methylation data. CancerLocator outperforms two established multi-class classification methods on simulations and real data, even with the low proportion of tumor-derived DNA in the cell-free DNA scenarios. CancerLocator also achieves promising results on patient plasma samples with low DNA methylation sequencing coverage.

X Demographics

X Demographics

The data shown below were collected from the profiles of 149 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 445 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Ireland 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Argentina 1 <1%
Canada 1 <1%
Unknown 438 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 95 21%
Student > Ph. D. Student 88 20%
Student > Master 34 8%
Student > Bachelor 34 8%
Other 23 5%
Other 53 12%
Unknown 118 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 141 32%
Agricultural and Biological Sciences 60 13%
Medicine and Dentistry 36 8%
Computer Science 31 7%
Engineering 10 2%
Other 34 8%
Unknown 133 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 319. 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 11 June 2024.
All research outputs
#109,678
of 26,014,510 outputs
Outputs from Genome Biology
#25
of 4,555 outputs
Outputs of similar age
#2,482
of 326,306 outputs
Outputs of similar age from Genome Biology
#1
of 59 outputs
Altmetric has tracked 26,014,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 99% 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 326,306 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 99% of its contemporaries.
We're also able to compare this research output to 59 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 98% of its contemporaries.