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Feature selection algorithm based on dual correlation filters for cancer-associated somatic variants

Overview of attention for article published in BMC Bioinformatics, October 2020
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Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Feature selection algorithm based on dual correlation filters for cancer-associated somatic variants
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03767-0
Authors

Hyein Seo, Dong-Ho Cho

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Lecturer 1 11%
Student > Bachelor 1 11%
Other 1 11%
Student > Master 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Computer Science 2 22%
Medicine and Dentistry 2 22%
Engineering 1 11%
Unknown 1 11%

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 31 October 2020.
All research outputs
#14,840,214
of 19,249,286 outputs
Outputs from BMC Bioinformatics
#5,286
of 6,565 outputs
Outputs of similar age
#275,037
of 390,505 outputs
Outputs of similar age from BMC Bioinformatics
#406
of 485 outputs
Altmetric has tracked 19,249,286 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,565 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 14th percentile – i.e., 14% 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 390,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.