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Cardiomyocyte Cell-Cycle Regulation in Neonatal Large Mammals: Single Nucleus RNA-Sequencing Data Analysis via an Artificial-Intelligence–Based Pipeline

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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5 X users

Citations

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6 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Cardiomyocyte Cell-Cycle Regulation in Neonatal Large Mammals: Single Nucleus RNA-Sequencing Data Analysis via an Artificial-Intelligence–Based Pipeline
Published in
Frontiers in Bioengineering and Biotechnology, July 2022
DOI 10.3389/fbioe.2022.914450
Pubmed ID
Authors

Thanh Nguyen, Yuhua Wei, Yuji Nakada, Yang Zhou, Jianyi Zhang

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 46%
Researcher 2 15%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Unknown 3 23%
Readers by discipline Count As %
Unspecified 6 46%
Biochemistry, Genetics and Molecular Biology 1 8%
Computer Science 1 8%
Unknown 5 38%
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 04 August 2022.
All research outputs
#8,057,836
of 24,212,485 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,414
of 7,679 outputs
Outputs of similar age
#150,375
of 424,909 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#77
of 618 outputs
Altmetric has tracked 24,212,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,679 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 81% 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 424,909 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 62% of its contemporaries.
We're also able to compare this research output to 618 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.