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Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis

Overview of attention for article published in BioData Mining, July 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Readers on

mendeley
4 Mendeley
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Title
Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis
Published in
BioData Mining, July 2021
DOI 10.1186/s13040-021-00269-4
Authors

Erika Cantor, Rodrigo Salas, Harvey Rosas, Sandra Guauque-Olarte

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Professor 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Engineering 2 50%
Agricultural and Biological Sciences 1 25%
Computer Science 1 25%

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 July 2021.
All research outputs
#11,723,160
of 19,198,440 outputs
Outputs from BioData Mining
#191
of 286 outputs
Outputs of similar age
#167,257
of 334,351 outputs
Outputs of similar age from BioData Mining
#1
of 1 outputs
Altmetric has tracked 19,198,440 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 29th percentile – i.e., 29% 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 334,351 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 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