↓ Skip to main content

Identification of cuproptosis-related biomarkers and analysis of immune infiltration in allograft lung ischemia-reperfusion injury

Overview of attention for article published in Frontiers in Molecular Biosciences, November 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions
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
Identification of cuproptosis-related biomarkers and analysis of immune infiltration in allograft lung ischemia-reperfusion injury
Published in
Frontiers in Molecular Biosciences, November 2023
DOI 10.3389/fmolb.2023.1269478
Pubmed ID
Authors

Jianying Qin, Xiaoyue Xiao, Silin Li, Ning Wen, Ke Qin, Haibin Li, Jihua Wu, Bing Lu, Minghu Li, Xuyong Sun

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 21 November 2023.
All research outputs
#21,113,955
of 25,935,829 outputs
Outputs from Frontiers in Molecular Biosciences
#2,501
of 4,773 outputs
Outputs of similar age
#264,188
of 374,151 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#74
of 166 outputs
Altmetric has tracked 25,935,829 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,773 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 33rd percentile – i.e., 33% 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 374,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.