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Exosomal miR-133a-3p Derived from BMSCs Alleviates Cerebral Ischemia-Reperfusion Injury via Targeting DAPK2

Overview of attention for article published in International Journal of Nanomedicine, January 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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7 Dimensions

Readers on

mendeley
4 Mendeley
Title
Exosomal miR-133a-3p Derived from BMSCs Alleviates Cerebral Ischemia-Reperfusion Injury via Targeting DAPK2
Published in
International Journal of Nanomedicine, January 2023
DOI 10.2147/ijn.s385395
Pubmed ID
Authors

Xuanyong Yang, Jiang Xu, Shihai Lan, Zhigao Tong, Kang Chen, Zhizheng Liu, Shan Xu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Ph. D. Student 1 25%
Student > Postgraduate 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Social Sciences 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 January 2023.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from International Journal of Nanomedicine
#2,472
of 4,122 outputs
Outputs of similar age
#270,798
of 475,273 outputs
Outputs of similar age from International Journal of Nanomedicine
#30
of 79 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,122 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 27th percentile – i.e., 27% 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 475,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.