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Genomic profiling for copy number changes in plasma of ovarian cancer patients – a new era for cancer diagnostics?

Overview of attention for article published in BMC Medicine, November 2016
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Title
Genomic profiling for copy number changes in plasma of ovarian cancer patients – a new era for cancer diagnostics?
Published in
BMC Medicine, November 2016
DOI 10.1186/s12916-016-0741-0
Pubmed ID
Authors

Vathany Kulasingam, Eleftherios P. Diamandis

Abstract

A blood test that can detect human malignancy with high clinical sensitivity and specificity is highly desirable. To achieve this, a tumor marker is needed that correlates with tumor burden and that can be measured with high analytical sensitivity and specificity. Over the past decades, a number of different types of tumor markers have emerged, including proteins such as enzymes, glycoproteins, and oncofetal antigens. Besides proteins, genetic abnormalities such as mutations, amplifications, and circulating tumor DNA have served as tumor markers. Despite the diversity of such biomarkers, their acceptance and implementation into routine clinical practice requires that their use results in improvements in patient outcome. Current tumor markers used in the clinic have limited utility. As such, innovative approaches to identifying tumor markers are highly desirable and one such approach may be to look for sub-chromosomal changes in the blood of patients with ovarian cancer, as is routinely performed in prenatal screening.Please see related article: http://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-016-0667-6.

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The data shown below were collected from the profile of 1 X user 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 32%
Student > Master 3 12%
Student > Ph. D. Student 3 12%
Professor 2 8%
Student > Bachelor 1 4%
Other 1 4%
Unknown 7 28%
Readers by discipline Count As %
Medicine and Dentistry 7 28%
Biochemistry, Genetics and Molecular Biology 6 24%
Agricultural and Biological Sciences 2 8%
Sports and Recreations 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 November 2016.
All research outputs
#20,353,668
of 22,901,818 outputs
Outputs from BMC Medicine
#3,341
of 3,443 outputs
Outputs of similar age
#350,325
of 417,510 outputs
Outputs of similar age from BMC Medicine
#66
of 68 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.