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Improvement of Neoantigen Identification Through Convolution Neural Network

Overview of attention for article published in Frontiers in immunology, May 2021
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1 X user

Citations

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4 Dimensions

Readers on

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16 Mendeley
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Title
Improvement of Neoantigen Identification Through Convolution Neural Network
Published in
Frontiers in immunology, May 2021
DOI 10.3389/fimmu.2021.682103
Pubmed ID
Authors

Qing Hao, Ping Wei, Yang Shu, Yi-Guan Zhang, Heng Xu, Jun-Ning Zhao

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Student > Ph. D. Student 3 19%
Student > Doctoral Student 2 13%
Researcher 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 6 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Computer Science 2 13%
Agricultural and Biological Sciences 2 13%
Immunology and Microbiology 1 6%
Unknown 7 44%
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 29 May 2021.
All research outputs
#22,774,430
of 25,387,668 outputs
Outputs from Frontiers in immunology
#27,442
of 31,541 outputs
Outputs of similar age
#394,199
of 459,432 outputs
Outputs of similar age from Frontiers in immunology
#1,245
of 1,460 outputs
Altmetric has tracked 25,387,668 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 31,541 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 459,432 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 1,460 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.