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Single-cell multiomics guided mechanistic understanding of Fontan-associated liver disease

Overview of attention for article published in Science Translational Medicine, April 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
46 news outlets
twitter
13 X users

Readers on

mendeley
3 Mendeley
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Title
Single-cell multiomics guided mechanistic understanding of Fontan-associated liver disease
Published in
Science Translational Medicine, April 2024
DOI 10.1126/scitranslmed.adk6213
Pubmed ID
Authors

Po Hu, Jack Rychik, Juanjuan Zhao, Huajun Bai, Aidan Bauer, Wenbao Yu, Elizabeth B Rand, Kathryn M Dodds, David J Goldberg, Kai Tan, Benjamin J Wilkins, Liming Pei

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Postgraduate 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 353. 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 June 2024.
All research outputs
#94,641
of 26,038,372 outputs
Outputs from Science Translational Medicine
#303
of 5,153 outputs
Outputs of similar age
#1,009
of 284,091 outputs
Outputs of similar age from Science Translational Medicine
#2
of 63 outputs
Altmetric has tracked 26,038,372 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 5,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.0. This one has done particularly well, scoring higher than 94% 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 284,091 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 63 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 96% of its contemporaries.