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Circulating Nucleosomes and Nucleosome Modifications as Biomarkers in Cancer

Overview of attention for article published in Cancers, January 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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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10 X users
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1 patent
facebook
3 Facebook pages

Citations

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86 Dimensions

Readers on

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137 Mendeley
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Title
Circulating Nucleosomes and Nucleosome Modifications as Biomarkers in Cancer
Published in
Cancers, January 2017
DOI 10.3390/cancers9010005
Pubmed ID
Authors

Peter McAnena, James A L Brown, Michael J Kerin

Abstract

Traditionally the stratification of many cancers involves combining tumour and clinicopathological features (e.g., patient age; tumour size, grade, receptor status and location) to inform treatment options and predict recurrence risk and survival. However, current biomarkers often require invasive excision of the tumour for profiling, do not allow monitoring of the response to treatment and stratify patients into broad heterogeneous groups leading to inconsistent treatment responses. Here we explore and describe the benefits of using circulating biomarkers (nucleosomes and/or modifications to nucleosomes) as a non-invasive method for detecting cancer and monitoring response to treatment. Nucleosomes (DNA wound around eight core histone proteins) are responsible for compacting our genome and their composition and post-translational modifications are responsible for regulating gene expression. Here, we focus on breast and colorectal cancer as examples where utilizing circulating nucleosomes as biomarkers hold real potential as liquid biopsies. Utilizing circulating nucleosomes as biomarkers is an exciting new area of research that promises to allow both the early detection of cancer and monitoring of treatment response. Nucleosome-based biomarkers combine with current biomarkers, increasing both specificity and sensitivity of current tests and have the potential to provide individualised precision-medicine based treatments for patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Unknown 136 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 19%
Student > Ph. D. Student 23 17%
Student > Master 14 10%
Student > Bachelor 12 9%
Student > Doctoral Student 11 8%
Other 13 9%
Unknown 38 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 24%
Medicine and Dentistry 26 19%
Agricultural and Biological Sciences 15 11%
Chemistry 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 16 12%
Unknown 38 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 October 2023.
All research outputs
#4,140,480
of 25,654,566 outputs
Outputs from Cancers
#1,718
of 15,735 outputs
Outputs of similar age
#74,241
of 423,562 outputs
Outputs of similar age from Cancers
#9
of 29 outputs
Altmetric has tracked 25,654,566 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,735 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 89% 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 423,562 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 82% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.