↓ Skip to main content

How vascular smooth muscle cell phenotype switching contributes to vascular disease

Overview of attention for article published in Cell Communication and Signaling, November 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 1,154)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
5 X users
video
1 YouTube creator

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
131 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
How vascular smooth muscle cell phenotype switching contributes to vascular disease
Published in
Cell Communication and Signaling, November 2022
DOI 10.1186/s12964-022-00993-2
Pubmed ID
Authors

Genmao Cao, Xuezhen Xuan, Jie Hu, Ruijing Zhang, Haijiang Jin, Honglin Dong

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 10%
Student > Master 9 7%
Student > Bachelor 8 6%
Researcher 7 5%
Unspecified 5 4%
Other 16 12%
Unknown 73 56%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 12%
Medicine and Dentistry 9 7%
Engineering 6 5%
Agricultural and Biological Sciences 5 4%
Unspecified 5 4%
Other 13 10%
Unknown 77 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 December 2022.
All research outputs
#1,925,508
of 24,026,368 outputs
Outputs from Cell Communication and Signaling
#35
of 1,154 outputs
Outputs of similar age
#40,789
of 453,953 outputs
Outputs of similar age from Cell Communication and Signaling
#3
of 53 outputs
Altmetric has tracked 24,026,368 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,154 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 453,953 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 53 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.