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Identification of a Novel Nomogram to Predict Progression Based on the Circadian Clock and Insights Into the Tumor Immune Microenvironment in Prostate Cancer

Overview of attention for article published in Frontiers in immunology, January 2022
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3 X users

Citations

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26 Dimensions

Readers on

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17 Mendeley
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Title
Identification of a Novel Nomogram to Predict Progression Based on the Circadian Clock and Insights Into the Tumor Immune Microenvironment in Prostate Cancer
Published in
Frontiers in immunology, January 2022
DOI 10.3389/fimmu.2022.777724
Pubmed ID
Authors

Dechao Feng, Qiao Xiong, Facai Zhang, Xu Shi, Hang Xu, Wuran Wei, Jianzhong Ai, Lu Yang

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.
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 18%
Unspecified 2 12%
Student > Ph. D. Student 2 12%
Student > Master 2 12%
Researcher 2 12%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Medicine and Dentistry 4 24%
Unspecified 2 12%
Biochemistry, Genetics and Molecular Biology 2 12%
Immunology and Microbiology 2 12%
Computer Science 1 6%
Other 2 12%
Unknown 4 24%
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 15 February 2022.
All research outputs
#20,580,732
of 26,166,431 outputs
Outputs from Frontiers in immunology
#23,303
of 33,003 outputs
Outputs of similar age
#382,367
of 531,478 outputs
Outputs of similar age from Frontiers in immunology
#1,097
of 1,560 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,003 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 22nd percentile – i.e., 22% 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 531,478 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,560 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.