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Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS

Overview of attention for article published in BioData Mining, November 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS
Published in
BioData Mining, November 2018
DOI 10.1186/s13040-018-0186-4
Pubmed ID
Authors

M. Arabnejad, B. A. Dawkins, W. S. Bush, B. C. White, A. R. Harkness, B. A. McKinney

Twitter Demographics

The data shown below were collected from the profiles of 11 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Bachelor 2 17%
Student > Doctoral Student 2 17%
Lecturer 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Agricultural and Biological Sciences 2 17%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Neuroscience 1 8%
Other 1 8%
Unknown 3 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 February 2019.
All research outputs
#2,672,144
of 14,367,928 outputs
Outputs from BioData Mining
#92
of 241 outputs
Outputs of similar age
#90,423
of 316,756 outputs
Outputs of similar age from BioData Mining
#6
of 20 outputs
Altmetric has tracked 14,367,928 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 241 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 61% 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 316,756 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.