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Novel Biomarkers in the Continuum of Breast Cancer

Overview of attention for book
Attention for Chapter 2: Novel Biomarkers in the Continuum of Breast Cancer
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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3 X users

Citations

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25 Dimensions

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Chapter title
Novel Biomarkers in the Continuum of Breast Cancer
Chapter number 2
Book title
Novel Biomarkers in the Continuum of Breast Cancer
Published in
Advances in experimental medicine and biology, January 2016
DOI 10.1007/978-3-319-22909-6_2
Pubmed ID
Book ISBNs
978-3-31-922908-9, 978-3-31-922909-6
Authors

Terry, Mary Beth, McDonald, Jasmine A, Wu, Hui Chen, Eng, Sybil, Santella, Regina M, Mary Beth Terry, Jasmine A. McDonald, Hui Chen Wu, Sybil Eng, Regina M. Santella

Abstract

Epigenetic biomarkers, such as DNA methylation, can increase cancer risk through altering gene expression. The Cancer Genome Atlas (TCGA) Network has demonstrated breast cancer-specific DNA methylation signatures. DNA methylation signatures measured at the time of diagnosis may prove important for treatment options and in predicting disease-free and overall survival (tertiary prevention). DNA methylation measurement in cell free DNA may also be useful in improving early detection by measuring tumor DNA released into the blood (secondary prevention). Most evidence evaluating the use of DNA methylation markers in tertiary and secondary prevention efforts for breast cancer comes from studies that are cross-sectional or retrospective with limited corresponding epidemiologic data, raising concerns about temporality. Few prospective studies exist that are large enough to address whether DNA methylation markers add to the prediction of tertiary and secondary outcomes over and beyond standard clinical measures. Determining the role of epigenetic biomarkers in primary prevention can help in identifying modifiable pathways for targeting interventions and reducing disease incidence. The potential is great for DNA methylation markers to improve cancer outcomes across the prevention continuum. Large, prospective epidemiological studies will provide essential evidence of the overall utility of adding these markers to primary prevention efforts, screening, and clinical care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Student > Bachelor 11 15%
Researcher 5 7%
Student > Master 5 7%
Other 4 6%
Other 10 14%
Unknown 20 28%
Readers by discipline Count As %
Medicine and Dentistry 18 25%
Biochemistry, Genetics and Molecular Biology 16 23%
Nursing and Health Professions 6 8%
Agricultural and Biological Sciences 4 6%
Immunology and Microbiology 2 3%
Other 4 6%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 March 2016.
All research outputs
#14,191,151
of 22,856,968 outputs
Outputs from Advances in experimental medicine and biology
#2,081
of 4,950 outputs
Outputs of similar age
#204,545
of 393,637 outputs
Outputs of similar age from Advances in experimental medicine and biology
#186
of 443 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 57% 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 393,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 443 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 57% of its contemporaries.