↓ Skip to main content

Determining threshold value on information gain feature selection to increase speed and prediction accuracy of random forest

Overview of attention for article published in Journal of Big Data, June 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
31 Mendeley
Title
Determining threshold value on information gain feature selection to increase speed and prediction accuracy of random forest
Published in
Journal of Big Data, June 2021
DOI 10.1186/s40537-021-00472-4
Authors

Prasetiyowati, Maria Irmina, Maulidevi, Nur Ulfa, Surendro, Kridanto

Twitter Demographics

The data shown below were collected from the profiles of 2 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Lecturer 3 10%
Student > Bachelor 2 6%
Lecturer > Senior Lecturer 1 3%
Other 0 0%
Unknown 17 55%
Readers by discipline Count As %
Computer Science 10 32%
Business, Management and Accounting 2 6%
Agricultural and Biological Sciences 1 3%
Unknown 18 58%

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 18 August 2021.
All research outputs
#13,324,173
of 20,678,629 outputs
Outputs from Journal of Big Data
#170
of 302 outputs
Outputs of similar age
#185,422
of 339,356 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 20,678,629 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 302 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 42nd percentile – i.e., 42% 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 339,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them