↓ Skip to main content

Severely imbalanced Big Data challenges: investigating data sampling approaches

Overview of attention for article published in Journal of Big Data, November 2019
Altmetric Badge

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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
126 Mendeley
Title
Severely imbalanced Big Data challenges: investigating data sampling approaches
Published in
Journal of Big Data, November 2019
DOI 10.1186/s40537-019-0274-4
Authors

Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 16%
Lecturer 8 6%
Student > Doctoral Student 8 6%
Student > Ph. D. Student 7 6%
Student > Bachelor 7 6%
Other 23 18%
Unknown 53 42%
Readers by discipline Count As %
Computer Science 25 20%
Engineering 13 10%
Business, Management and Accounting 9 7%
Mathematics 5 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 16 13%
Unknown 54 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 March 2023.
All research outputs
#3,660,731
of 25,652,464 outputs
Outputs from Journal of Big Data
#73
of 395 outputs
Outputs of similar age
#84,000
of 479,564 outputs
Outputs of similar age from Journal of Big Data
#5
of 20 outputs
Altmetric has tracked 25,652,464 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 395 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 81% 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 479,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% 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 done well, scoring higher than 75% of its contemporaries.