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Single-molecule methylation profiles of cell-free DNA in cancer with nanopore sequencing

Overview of attention for article published in Genome Medicine, May 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
50 X users

Readers on

mendeley
79 Mendeley
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Title
Single-molecule methylation profiles of cell-free DNA in cancer with nanopore sequencing
Published in
Genome Medicine, May 2023
DOI 10.1186/s13073-023-01178-3
Pubmed ID
Authors

Billy T. Lau, Alison Almeda, Marie Schauer, Madeline McNamara, Xiangqi Bai, Qingxi Meng, Mira Partha, Susan M. Grimes, HoJoon Lee, Gregory M. Heestand, Hanlee P. Ji

Abstract

Epigenetic characterization of cell-free DNA (cfDNA) is an emerging approach for detecting and characterizing diseases such as cancer. We developed a strategy using nanopore-based single-molecule sequencing to measure cfDNA methylomes. This approach generated up to 200 million reads for a single cfDNA sample from cancer patients, an order of magnitude improvement over existing nanopore sequencing methods. We developed a single-molecule classifier to determine whether individual reads originated from a tumor or immune cells. Leveraging methylomes of matched tumors and immune cells, we characterized cfDNA methylomes of cancer patients for longitudinal monitoring during treatment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 9 11%
Student > Bachelor 5 6%
Student > Postgraduate 5 6%
Other 4 5%
Other 9 11%
Unknown 31 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 32%
Agricultural and Biological Sciences 12 15%
Computer Science 4 5%
Engineering 3 4%
Unspecified 2 3%
Other 3 4%
Unknown 30 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 08 September 2023.
All research outputs
#1,049,561
of 25,738,558 outputs
Outputs from Genome Medicine
#200
of 1,611 outputs
Outputs of similar age
#21,980
of 410,145 outputs
Outputs of similar age from Genome Medicine
#5
of 21 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 87% 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 410,145 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 94% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.