↓ Skip to main content

SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer

Overview of attention for article published in Frontiers in Nanotechnology, August 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
158 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer
Published in
Frontiers in Nanotechnology, August 2022
DOI 10.3389/fnano.2022.972421
Authors

Sashikanta Prusty, Srikanta Patnaik, Sujit Kumar Dash

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 21 13%
Student > Bachelor 12 8%
Student > Ph. D. Student 8 5%
Lecturer 8 5%
Student > Master 5 3%
Other 13 8%
Unknown 91 58%
Readers by discipline Count As %
Computer Science 25 16%
Unspecified 21 13%
Engineering 7 4%
Mathematics 2 1%
Business, Management and Accounting 2 1%
Other 7 4%
Unknown 94 59%
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 26 August 2022.
All research outputs
#15,278,989
of 24,229,740 outputs
Outputs from Frontiers in Nanotechnology
#81
of 264 outputs
Outputs of similar age
#207,779
of 420,965 outputs
Outputs of similar age from Frontiers in Nanotechnology
#6
of 23 outputs
Altmetric has tracked 24,229,740 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 63% 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 420,965 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.