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Multi-task learning for predicting SARS-CoV-2 antibody escape

Overview of attention for article published in Frontiers in Genetics, August 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Multi-task learning for predicting SARS-CoV-2 antibody escape
Published in
Frontiers in Genetics, August 2022
DOI 10.3389/fgene.2022.886649
Pubmed ID
Authors

Barak Gross, Roded Sharan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

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 %
Unspecified 2 33%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 3 50%
Attention Score in Context

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 29 August 2022.
All research outputs
#16,001,454
of 24,350,163 outputs
Outputs from Frontiers in Genetics
#4,844
of 13,093 outputs
Outputs of similar age
#226,097
of 420,846 outputs
Outputs of similar age from Frontiers in Genetics
#236
of 1,040 outputs
Altmetric has tracked 24,350,163 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,093 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 420,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,040 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.