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Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?

Overview of attention for article published in European Radiology Experimental, May 2020
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1 X user

Citations

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Readers on

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53 Mendeley
Title
Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?
Published in
European Radiology Experimental, May 2020
DOI 10.1186/s41747-020-00159-0
Pubmed ID
Authors

Giuseppe Baselli, Marina Codari, Francesco Sardanelli

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Ph. D. Student 8 15%
Student > Master 7 13%
Other 3 6%
Student > Postgraduate 3 6%
Other 6 11%
Unknown 16 30%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Computer Science 7 13%
Engineering 5 9%
Social Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 9%
Unknown 17 32%
Attention Score in Context

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 08 May 2020.
All research outputs
#15,607,836
of 23,206,358 outputs
Outputs from European Radiology Experimental
#127
of 205 outputs
Outputs of similar age
#238,745
of 381,865 outputs
Outputs of similar age from European Radiology Experimental
#8
of 11 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 205 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 25th percentile – i.e., 25% 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 381,865 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.