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HLA class II molecule HLA-DRA identifies immuno-hot tumors and predicts the therapeutic response to anti-PD-1 immunotherapy in NSCLC

Overview of attention for article published in BMC Cancer, July 2022
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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13 Mendeley
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Title
HLA class II molecule HLA-DRA identifies immuno-hot tumors and predicts the therapeutic response to anti-PD-1 immunotherapy in NSCLC
Published in
BMC Cancer, July 2022
DOI 10.1186/s12885-022-09840-6
Pubmed ID
Authors

Jie Mei, Guanyu Jiang, Yundi Chen, Yongrui Xu, Yuan Wan, Ruo Chen, Feng Liu, Wenjun Mao, Mingfeng Zheng, Junying Xu

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Unspecified 2 15%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 5 38%
Readers by discipline Count As %
Unspecified 2 15%
Medicine and Dentistry 2 15%
Biochemistry, Genetics and Molecular Biology 2 15%
Environmental Science 1 8%
Unknown 6 46%
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 07 July 2022.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from BMC Cancer
#6,491
of 8,297 outputs
Outputs of similar age
#346,861
of 434,306 outputs
Outputs of similar age from BMC Cancer
#170
of 273 outputs
Altmetric has tracked 22,805,349 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 8,297 research outputs from this source. They receive a mean Attention Score of 4.3. 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 434,306 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 273 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.