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Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm

Overview of attention for article published in Frontiers in immunology, June 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm
Published in
Frontiers in immunology, June 2022
DOI 10.3389/fimmu.2022.907309
Pubmed ID
Authors

Tao Xiong, Xiao-Shuo Lv, Gu-Jie Wu, Yao-Xing Guo, Chang Liu, Fang-Xia Hou, Jun-Kui Wang, Yi-Fan Fu, Fu-Qiang Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Student > Postgraduate 1 10%
Other 1 10%
Student > Master 1 10%
Unknown 5 50%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Linguistics 1 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Unknown 5 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 05 July 2022.
All research outputs
#15,707,582
of 26,178,577 outputs
Outputs from Frontiers in immunology
#14,745
of 32,859 outputs
Outputs of similar age
#204,976
of 448,864 outputs
Outputs of similar age from Frontiers in immunology
#841
of 1,945 outputs
Altmetric has tracked 26,178,577 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,859 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 52% 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 448,864 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 52% of its contemporaries.
We're also able to compare this research output to 1,945 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 52% of its contemporaries.