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A downsampling strategy to assess the predictive value of radiomic features

Overview of attention for article published in Scientific Reports, November 2019
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Mentioned by

twitter
1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
6 Mendeley
Title
A downsampling strategy to assess the predictive value of radiomic features
Published in
Scientific Reports, November 2019
DOI 10.1038/s41598-019-54190-2
Pubmed ID
Authors

Anne-Sophie Dirand, Frédérique Frouin, Irène Buvat

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Master 2 33%
Other 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Computer Science 1 17%
Unknown 3 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 December 2019.
All research outputs
#12,968,421
of 16,329,437 outputs
Outputs from Scientific Reports
#63,369
of 87,035 outputs
Outputs of similar age
#280,302
of 386,485 outputs
Outputs of similar age from Scientific Reports
#10,801
of 14,575 outputs
Altmetric has tracked 16,329,437 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 87,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one is in the 16th percentile – i.e., 16% 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 386,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14,575 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.