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EFS: an ensemble feature selection tool implemented as R-package and web-application

Overview of attention for article published in BioData Mining, June 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

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73 Dimensions

Readers on

mendeley
74 Mendeley
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Title
EFS: an ensemble feature selection tool implemented as R-package and web-application
Published in
BioData Mining, June 2017
DOI 10.1186/s13040-017-0142-8
Pubmed ID
Authors

Ursula Neumann, Nikita Genze, Dominik Heider

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Student > Master 8 11%
Student > Doctoral Student 8 11%
Researcher 8 11%
Other 6 8%
Other 10 14%
Unknown 23 31%
Readers by discipline Count As %
Computer Science 15 20%
Biochemistry, Genetics and Molecular Biology 9 12%
Agricultural and Biological Sciences 7 9%
Engineering 5 7%
Nursing and Health Professions 2 3%
Other 12 16%
Unknown 24 32%
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 16 February 2024.
All research outputs
#15,810,483
of 26,017,215 outputs
Outputs from BioData Mining
#201
of 325 outputs
Outputs of similar age
#176,783
of 332,082 outputs
Outputs of similar age from BioData Mining
#10
of 14 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 35th percentile – i.e., 35% 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 332,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.