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Establishing a Prognostic Model Based on Ulceration and Immune Related Genes in Melanoma Patients and Identification of EIF3B as a Therapeutic Target

Overview of attention for article published in Frontiers in immunology, February 2022
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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7 Mendeley
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Title
Establishing a Prognostic Model Based on Ulceration and Immune Related Genes in Melanoma Patients and Identification of EIF3B as a Therapeutic Target
Published in
Frontiers in immunology, February 2022
DOI 10.3389/fimmu.2022.824946
Pubmed ID
Authors

Zhengquan Wu, Ke Lei, Sheng Xu, Jiali He, Enxian Shi

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 29%
Student > Ph. D. Student 2 29%
Student > Postgraduate 1 14%
Unknown 2 29%
Readers by discipline Count As %
Unspecified 2 29%
Immunology and Microbiology 1 14%
Medicine and Dentistry 1 14%
Engineering 1 14%
Unknown 2 29%
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 13 March 2022.
All research outputs
#23,269,088
of 25,932,719 outputs
Outputs from Frontiers in immunology
#28,144
of 32,608 outputs
Outputs of similar age
#387,699
of 455,831 outputs
Outputs of similar age from Frontiers in immunology
#1,457
of 1,698 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,608 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 1st percentile – i.e., 1% 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 455,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,698 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.