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Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral

Overview of attention for article published in Frontiers in Microbiology, June 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral
Published in
Frontiers in Microbiology, June 2023
DOI 10.3389/fmicb.2023.1193320
Pubmed ID
Authors

Maximilian A. Kelch, Antonella Vera-Guapi, Thomas Beder, Marcus Oswald, Alicia Hiemisch, Nina Beil, Piotr Wajda, Sandra Ciesek, Holger Erfle, Tuna Toptan, Rainer Koenig

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 %
Student > Bachelor 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Computer Science 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
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 21 June 2023.
All research outputs
#14,650,584
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#10,689
of 29,374 outputs
Outputs of similar age
#157,227
of 385,873 outputs
Outputs of similar age from Frontiers in Microbiology
#234
of 985 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 61% 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 385,873 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 58% of its contemporaries.
We're also able to compare this research output to 985 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 74% of its contemporaries.