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Cyclic Strain Mitigates Nanoparticle Internalization by Vascular Smooth Muscle Cells

Overview of attention for article published in International Journal of Nanomedicine, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
Title
Cyclic Strain Mitigates Nanoparticle Internalization by Vascular Smooth Muscle Cells
Published in
International Journal of Nanomedicine, March 2022
DOI 10.2147/ijn.s337942
Pubmed ID
Authors

Chia-Liang Tsai, Ching-Yun Huang, Yi-Ching Lu, Li-Mei Pai, Daniel Horák, Yunn-Hwa Ma

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2022.
All research outputs
#15,155,790
of 23,310,485 outputs
Outputs from International Journal of Nanomedicine
#1,914
of 3,885 outputs
Outputs of similar age
#235,419
of 441,867 outputs
Outputs of similar age from International Journal of Nanomedicine
#14
of 44 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,885 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 441,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.