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Signaling network model of cardiomyocyte morphological changes in familial cardiomyopathy

Overview of attention for article published in Journal of Molecular & Cellular Cardiology, November 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
24 X users

Readers on

mendeley
18 Mendeley
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Title
Signaling network model of cardiomyocyte morphological changes in familial cardiomyopathy
Published in
Journal of Molecular & Cellular Cardiology, November 2022
DOI 10.1016/j.yjmcc.2022.10.006
Pubmed ID
Authors

Ali Khalilimeybodi, Muhammad Riaz, Stuart G Campbell, Jeffrey H Omens, Andrew D McCulloch, Yibing Qyang, Jeffrey J Saucerman

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 17%
Student > Bachelor 2 11%
Student > Doctoral Student 2 11%
Researcher 2 11%
Student > Master 1 6%
Other 0 0%
Unknown 8 44%
Readers by discipline Count As %
Engineering 4 22%
Biochemistry, Genetics and Molecular Biology 3 17%
Agricultural and Biological Sciences 1 6%
Medicine and Dentistry 1 6%
Physics and Astronomy 1 6%
Other 0 0%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 25 January 2023.
All research outputs
#2,492,601
of 26,314,361 outputs
Outputs from Journal of Molecular & Cellular Cardiology
#89
of 2,657 outputs
Outputs of similar age
#50,140
of 445,946 outputs
Outputs of similar age from Journal of Molecular & Cellular Cardiology
#1
of 26 outputs
Altmetric has tracked 26,314,361 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,657 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 445,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 26 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.