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Tuning the Response of Synthetic Mechanogenetic Gene Circuits Using Mutations in TRPV4

Overview of attention for article published in Tissue Engineering: Part A, August 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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7 X users

Readers on

mendeley
1 Mendeley
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Title
Tuning the Response of Synthetic Mechanogenetic Gene Circuits Using Mutations in TRPV4
Published in
Tissue Engineering: Part A, August 2024
DOI 10.1089/ten.tea.2024.0163
Pubmed ID
Authors

Yu Seon Kim, Nancy Steward, Autumn Kim, Isabella Fehle, Farshid Guilak

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 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 %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 August 2024.
All research outputs
#7,116,729
of 26,558,362 outputs
Outputs from Tissue Engineering: Part A
#461
of 1,879 outputs
Outputs of similar age
#56,237
of 224,280 outputs
Outputs of similar age from Tissue Engineering: Part A
#3
of 14 outputs
Altmetric has tracked 26,558,362 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,879 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 75% 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 224,280 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 74% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.