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Molecular cytogenetics as a clinical test for prognostic and predictive biomarkers in newly diagnosed ovarian cancer

Overview of attention for article published in Journal of Ovarian Research, January 2013
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Title
Molecular cytogenetics as a clinical test for prognostic and predictive biomarkers in newly diagnosed ovarian cancer
Published in
Journal of Ovarian Research, January 2013
DOI 10.1186/1757-2215-6-2
Pubmed ID
Authors

Shelly Gunn, Xavier Reveles, Korrie Weldon, Andres Barrera, Mariam Ishaque, Dale Taylor, Chris McCaskill, Jaeweon Kim, Rashmi Shah, Mansoor Mohammed, Todd Barry, Brianne Kaiser, Amita Patnaik, Anthony Tolcher

Abstract

There is a clinical need for routinely available genomic biomarker testing in newly diagnosed ovarian cancer. In the current study we performed molecular cytogenetics using a validated array based comparative genomic hybridization (array CGH) assay to screen for the presence of predictive and prognostic biomarkers in archival diagnostic tissue from ovarian cancer patients. We hypothesized that biomarkers of high-risk disease would be detectable in tumor samples from patients with treatment refractory, advanced disease, and would be detected less frequently in tumor samples from patients with more favorable outcomes. In addition, we predicted that the use of a genome-wide copy number analysis (CNA) testing platform would enable us to identify novel potentially targetable chromosomal alterations of therapeutic significance in a percentage of cases.

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X Demographics

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 %
Student > Ph. D. Student 8 32%
Researcher 5 20%
Student > Master 3 12%
Student > Bachelor 3 12%
Student > Postgraduate 2 8%
Other 3 12%
Unknown 1 4%
Readers by discipline Count As %
Medicine and Dentistry 7 28%
Agricultural and Biological Sciences 7 28%
Computer Science 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 1 4%
Other 4 16%
Unknown 1 4%
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 08 January 2013.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Journal of Ovarian Research
#379
of 727 outputs
Outputs of similar age
#221,144
of 288,800 outputs
Outputs of similar age from Journal of Ovarian Research
#8
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 727 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.