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Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer

Overview of attention for article published in BMC Medical Genomics, January 2014
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
reddit
1 Redditor

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
1 CiteULike
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Title
Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer
Published in
BMC Medical Genomics, January 2014
DOI 10.1186/1755-8794-7-8
Pubmed ID
Authors

Devin C Koestler, Prabhakar Chalise, Mine S Cicek, Julie M Cunningham, Sebastian Armasu, Melissa C Larson, Jeremy Chien, Matthew Block, Kimberly R Kalli, Thomas A Sellers, Brooke L Fridley, Ellen L Goode

Abstract

Both genetic and epigenetic factors influence the development and progression of epithelial ovarian cancer (EOC). However, there is an incomplete understanding of the interrelationship between these factors and the extent to which they interact to impact disease risk. In the present study, we aimed to gain insight into this relationship by identifying DNA methylation marks that are candidate mediators of ovarian cancer genetic risk.

X Demographics

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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 26%
Student > Doctoral Student 9 17%
Student > Ph. D. Student 8 15%
Student > Master 7 13%
Other 3 6%
Other 9 17%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 43%
Medicine and Dentistry 11 20%
Biochemistry, Genetics and Molecular Biology 7 13%
Computer Science 3 6%
Engineering 2 4%
Other 4 7%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 February 2022.
All research outputs
#3,970,070
of 23,041,514 outputs
Outputs from BMC Medical Genomics
#183
of 1,234 outputs
Outputs of similar age
#48,117
of 308,914 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 13 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,234 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 308,914 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 84% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.