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Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature

Overview of attention for article published in Frontiers in Genetics, February 2021
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Mentioned by

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1 X user

Citations

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20 Dimensions

Readers on

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68 Mendeley
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Title
Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature
Published in
Frontiers in Genetics, February 2021
DOI 10.3389/fgene.2021.624820
Pubmed ID
Authors

Xi Wang, Bin-bin Li

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

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 10%
Student > Master 6 9%
Student > Ph. D. Student 6 9%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 31 46%
Readers by discipline Count As %
Medicine and Dentistry 14 21%
Computer Science 8 12%
Business, Management and Accounting 2 3%
Engineering 2 3%
Agricultural and Biological Sciences 1 1%
Other 5 7%
Unknown 36 53%
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 01 March 2021.
All research outputs
#20,688,655
of 23,285,523 outputs
Outputs from Frontiers in Genetics
#8,899
of 12,300 outputs
Outputs of similar age
#440,112
of 513,572 outputs
Outputs of similar age from Frontiers in Genetics
#388
of 516 outputs
Altmetric has tracked 23,285,523 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 12,300 research outputs from this source. They receive a mean Attention Score of 3.7. 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 513,572 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 516 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.