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Differential expression pattern, bioinformatics analysis, and validation of circRNA and mRNA in patients with arteriosclerosis

Overview of attention for article published in Frontiers in Cardiovascular Medicine, September 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 (76th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
3 Mendeley
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Title
Differential expression pattern, bioinformatics analysis, and validation of circRNA and mRNA in patients with arteriosclerosis
Published in
Frontiers in Cardiovascular Medicine, September 2022
DOI 10.3389/fcvm.2022.942797
Pubmed ID
Authors

Yunyun Liu, Kangjie Wang, Guanhua Li, Zhibo Chen

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unspecified 1 33%
Unknown 2 67%
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 30 September 2022.
All research outputs
#15,168,594
of 24,527,858 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,043
of 8,486 outputs
Outputs of similar age
#200,992
of 423,131 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#223
of 1,032 outputs
Altmetric has tracked 24,527,858 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,486 research outputs from this source. They receive a mean Attention Score of 4.2. 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 423,131 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 50% of its contemporaries.
We're also able to compare this research output to 1,032 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.