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Interpretation of genomic variation and disease association: the great missense mutation challenge!

Overview of attention for article published in Breast Cancer Research and Treatment, April 2015
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1 X user

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2 Mendeley
Title
Interpretation of genomic variation and disease association: the great missense mutation challenge!
Published in
Breast Cancer Research and Treatment, April 2015
DOI 10.1007/s10549-015-3394-3
Pubmed ID
Authors

Tú Nguyen-Dumont, Ingrid Winship, Melissa C. Southey

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%
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 27 January 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from Breast Cancer Research and Treatment
#4,109
of 4,660 outputs
Outputs of similar age
#224,015
of 265,477 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#66
of 76 outputs
Altmetric has tracked 22,842,950 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 4,660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% 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 265,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 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.