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A programmed cell death-related model based on machine learning for predicting prognosis and immunotherapy responses in patients with lung adenocarcinoma

Overview of attention for article published in Frontiers in immunology, August 2023
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2 X users

Citations

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11 Mendeley
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Title
A programmed cell death-related model based on machine learning for predicting prognosis and immunotherapy responses in patients with lung adenocarcinoma
Published in
Frontiers in immunology, August 2023
DOI 10.3389/fimmu.2023.1183230
Pubmed ID
Authors

Yi Zhang, Yuzhi Wang, Jianlin Chen, Yu Xia, Yi Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Student > Doctoral Student 2 18%
Other 1 9%
Professor 1 9%
Unknown 5 45%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Unspecified 2 18%
Arts and Humanities 1 9%
Unknown 6 55%
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 August 2023.
All research outputs
#21,592,555
of 26,505,350 outputs
Outputs from Frontiers in immunology
#25,955
of 33,342 outputs
Outputs of similar age
#266,659
of 366,923 outputs
Outputs of similar age from Frontiers in immunology
#921
of 1,218 outputs
Altmetric has tracked 26,505,350 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 33,342 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 13th percentile – i.e., 13% 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 366,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,218 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.