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Development and validation of AI/ML derived splice-switching oligonucleotides

Overview of attention for article published in Molecular Systems Biology, April 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 1,157)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
28 news outlets
blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Development and validation of AI/ML derived splice-switching oligonucleotides
Published in
Molecular Systems Biology, April 2024
DOI 10.1038/s44320-024-00034-9
Pubmed ID
Authors

Alyssa D Fronk, Miguel A Manzanares, Paulina Zheng, Adam Geier, Kendall Anderson, Shaleigh Stanton, Hasan Zumrut, Sakshi Gera, Robin Munch, Vanessa Frederick, Priyanka Dhingra, Gayatri Arun, Martin Akerman

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Unknown 4 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Business, Management and Accounting 1 13%
Medicine and Dentistry 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 215. 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 02 May 2024.
All research outputs
#184,115
of 25,834,578 outputs
Outputs from Molecular Systems Biology
#8
of 1,157 outputs
Outputs of similar age
#1,270
of 176,251 outputs
Outputs of similar age from Molecular Systems Biology
#1
of 11 outputs
Altmetric has tracked 25,834,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has done particularly well, scoring higher than 99% 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 176,251 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
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 has done particularly well, scoring higher than 90% of its contemporaries.