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Differentiation and Engineering of Human Stem Cells for Smooth Muscle Generation

Overview of attention for article published in Tissue Engineering, Part B: Reviews, July 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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7 X users

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1 Mendeley
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Title
Differentiation and Engineering of Human Stem Cells for Smooth Muscle Generation
Published in
Tissue Engineering, Part B: Reviews, July 2022
DOI 10.1089/ten.teb.2022.0039
Pubmed ID
Authors

Srikanth Sivaraman, Prashanth Ravishankar, Raj R. Rao

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 March 2023.
All research outputs
#6,882,654
of 25,392,582 outputs
Outputs from Tissue Engineering, Part B: Reviews
#112
of 445 outputs
Outputs of similar age
#122,712
of 432,827 outputs
Outputs of similar age from Tissue Engineering, Part B: Reviews
#1
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 445 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 74% 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 432,827 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 71% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them