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Uncovering molecular events associated with the chemosuppressive effects of flaxseed: a microarray analysis of the laying hen model of ovarian cancer

Overview of attention for article published in BMC Genomics, August 2014
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Title
Uncovering molecular events associated with the chemosuppressive effects of flaxseed: a microarray analysis of the laying hen model of ovarian cancer
Published in
BMC Genomics, August 2014
DOI 10.1186/1471-2164-15-709
Pubmed ID
Authors

Karen H Hales, Sheree C Speckman, Nawneet K Kurrey, Dale B Hales

Abstract

The laying hen model of spontaneous epithelial ovarian cancer (EOC) is unique in that it is the only model that enables observations of early events in disease progression and is therefore also uniquely suited for chemoprevention trials. Previous studies on the effect of dietary flaxseed in laying hens have revealed the potential for both amelioration and prevention of ovarian cancer. The objective of this study was to assess the effect of flaxseed on genes and pathways that are dysregulated in tumors. We have used a bioinformatics approach to identify these genes, followed by qPCR validation, immunohistochemical localization, and in situ hybridization to visualize expression in normal ovaries and tumors from animals fed a control diet or a diet containing 10% flaxseed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Student > Doctoral Student 4 14%
Researcher 3 11%
Student > Ph. D. Student 3 11%
Student > Postgraduate 3 11%
Other 3 11%
Unknown 7 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Agricultural and Biological Sciences 4 14%
Medicine and Dentistry 3 11%
Nursing and Health Professions 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 3 11%
Unknown 7 25%
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 14 May 2015.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from BMC Genomics
#5,391
of 11,244 outputs
Outputs of similar age
#123,634
of 247,760 outputs
Outputs of similar age from BMC Genomics
#118
of 268 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 247,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 268 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 51% of its contemporaries.