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SMOTE for high-dimensional class-imbalanced data

Overview of attention for article published in BMC Bioinformatics, March 2013
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Citations

dimensions_citation
676 Dimensions

Readers on

mendeley
748 Mendeley
citeulike
4 CiteULike
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Title
SMOTE for high-dimensional class-imbalanced data
Published in
BMC Bioinformatics, March 2013
DOI 10.1186/1471-2105-14-106
Pubmed ID
Authors

Rok Blagus, Lara Lusa

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 748 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Saudi Arabia 1 <1%
Iran, Islamic Republic of 1 <1%
Denmark 1 <1%
China 1 <1%
United States 1 <1%
Unknown 740 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 137 18%
Student > Master 114 15%
Researcher 67 9%
Student > Bachelor 62 8%
Other 22 3%
Other 104 14%
Unknown 242 32%
Readers by discipline Count As %
Computer Science 193 26%
Engineering 89 12%
Biochemistry, Genetics and Molecular Biology 35 5%
Medicine and Dentistry 23 3%
Agricultural and Biological Sciences 21 3%
Other 117 16%
Unknown 270 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 April 2021.
All research outputs
#1,570,113
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#230
of 7,763 outputs
Outputs of similar age
#12,059
of 211,756 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 145 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 96% 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 211,756 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.