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Molecular Subtypes of Oral Squamous Cell Carcinoma Based on Immunosuppression Genes Using a Deep Learning Approach

Overview of attention for article published in Frontiers in Cell and Developmental Biology, August 2021
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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2 X users

Citations

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10 Dimensions

Readers on

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38 Mendeley
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Title
Molecular Subtypes of Oral Squamous Cell Carcinoma Based on Immunosuppression Genes Using a Deep Learning Approach
Published in
Frontiers in Cell and Developmental Biology, August 2021
DOI 10.3389/fcell.2021.687245
Pubmed ID
Authors

Simin Li, Zhaoyi Mai, Wenli Gu, Anthony Chukwunonso Ogbuehi, Aneesha Acharya, George Pelekos, Wanchen Ning, Xiangqiong Liu, Yupei Deng, Hanluo Li, Bernd Lethaus, Vuk Savkovic, Rüdiger Zimmerer, Dirk Ziebolz, Gerhard Schmalz, Hao Wang, Hui Xiao, Jianjiang Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 13%
Student > Master 4 11%
Student > Ph. D. Student 2 5%
Student > Bachelor 2 5%
Other 1 3%
Other 3 8%
Unknown 21 55%
Readers by discipline Count As %
Unspecified 5 13%
Medicine and Dentistry 5 13%
Agricultural and Biological Sciences 4 11%
Veterinary Science and Veterinary Medicine 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 21 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 August 2021.
All research outputs
#15,155,790
of 23,310,485 outputs
Outputs from Frontiers in Cell and Developmental Biology
#3,322
of 9,293 outputs
Outputs of similar age
#233,950
of 432,318 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#324
of 1,009 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,293 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 432,318 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,009 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.