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Towards realistic privacy-preserving deep learning over encrypted medical data

Overview of attention for article published in Frontiers in Cardiovascular Medicine, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Readers on

mendeley
7 Mendeley
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Title
Towards realistic privacy-preserving deep learning over encrypted medical data
Published in
Frontiers in Cardiovascular Medicine, April 2023
DOI 10.3389/fcvm.2023.1117360
Pubmed ID
Authors

José Cabrero-Holgueras, Sergio Pastrana

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Other 1 14%
Unknown 5 71%
Readers by discipline Count As %
Unspecified 1 14%
Computer Science 1 14%
Unknown 5 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 May 2023.
All research outputs
#14,137,524
of 24,171,511 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,695
of 8,092 outputs
Outputs of similar age
#165,925
of 388,498 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#88
of 581 outputs
Altmetric has tracked 24,171,511 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,092 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 78% 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 388,498 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.