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Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development

Overview of attention for article published in Journal of Big Data, July 2022
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Mentioned by

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1 X user

Citations

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23 Dimensions

Readers on

mendeley
22 Mendeley
Title
Tumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development
Published in
Journal of Big Data, July 2022
DOI 10.1186/s40537-022-00643-x
Pubmed ID
Authors

Changwu Wu, Chaoying Qin, Wenyong Long, Xiangyu Wang, Kai Xiao, Qing Liu

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Unspecified 1 5%
Librarian 1 5%
Student > Ph. D. Student 1 5%
Lecturer 1 5%
Other 2 9%
Unknown 12 55%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 9%
Computer Science 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Unspecified 1 5%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 12 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 20 July 2022.
All research outputs
#23,004,938
of 25,649,244 outputs
Outputs from Journal of Big Data
#376
of 395 outputs
Outputs of similar age
#372,415
of 437,919 outputs
Outputs of similar age from Journal of Big Data
#6
of 8 outputs
Altmetric has tracked 25,649,244 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 395 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. 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 437,919 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.