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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
38 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

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

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Master 7 18%
Student > Ph. D. Student 7 18%
Other 1 3%
Student > Doctoral Student 1 3%
Other 5 13%
Unknown 7 18%
Readers by discipline Count As %
Medicine and Dentistry 13 34%
Engineering 5 13%
Computer Science 5 13%
Social Sciences 3 8%
Unspecified 1 3%
Other 4 11%
Unknown 7 18%

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
#11,463,094
of 17,663,872 outputs
Outputs from European Radiology Experimental
#87
of 135 outputs
Outputs of similar age
#173,780
of 285,575 outputs
Outputs of similar age from European Radiology Experimental
#1
of 1 outputs
Altmetric has tracked 17,663,872 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 135 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 22nd percentile – i.e., 22% 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 285,575 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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