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Authentication of differential gene expression in oral squamous cell carcinoma using machine learning applications

Overview of attention for article published in BMC Oral Health, May 2021
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1 X user

Citations

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9 Dimensions

Readers on

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42 Mendeley
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Title
Authentication of differential gene expression in oral squamous cell carcinoma using machine learning applications
Published in
BMC Oral Health, May 2021
DOI 10.1186/s12903-021-01642-9
Pubmed ID
Authors

Rian Pratama, Jae Joon Hwang, Ji Hye Lee, Giltae Song, Hae Ryoun Park

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 7%
Lecturer 2 5%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Professor 1 2%
Other 2 5%
Unknown 30 71%
Readers by discipline Count As %
Computer Science 3 7%
Agricultural and Biological Sciences 3 7%
Medicine and Dentistry 3 7%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 30 71%
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 31 May 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from BMC Oral Health
#1,203
of 1,528 outputs
Outputs of similar age
#369,100
of 448,351 outputs
Outputs of similar age from BMC Oral Health
#50
of 71 outputs
Altmetric has tracked 23,308,124 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 1,528 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 448,351 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 71 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.