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Predicting the Lung Adenocarcinoma and Its Biomarkers by Integrating Gene Expression and DNA Methylation Data

Overview of attention for article published in Frontiers in Genetics, June 2022
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1 X user

Citations

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3 Dimensions

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5 Mendeley
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Title
Predicting the Lung Adenocarcinoma and Its Biomarkers by Integrating Gene Expression and DNA Methylation Data
Published in
Frontiers in Genetics, June 2022
DOI 10.3389/fgene.2022.926927
Pubmed ID
Authors

Wang-Ren Qiu, Bei-Bei Qi, Wei-Zhong Lin, Shou-Hua Zhang, Wang-Ke Yu, Shun-Fa Huang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Computer Science 1 20%
Unknown 4 80%
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 August 2022.
All research outputs
#20,450,513
of 23,006,268 outputs
Outputs from Frontiers in Genetics
#8,718
of 12,067 outputs
Outputs of similar age
#350,657
of 438,011 outputs
Outputs of similar age from Frontiers in Genetics
#547
of 912 outputs
Altmetric has tracked 23,006,268 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 12,067 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 438,011 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 912 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.