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Computational Prediction of Drug Responses in Cancer Cell Lines From Cancer Omics and Detection of Drug Effectiveness Related Methylation Sites

Overview of attention for article published in Frontiers in Genetics, August 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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15 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Computational Prediction of Drug Responses in Cancer Cell Lines From Cancer Omics and Detection of Drug Effectiveness Related Methylation Sites
Published in
Frontiers in Genetics, August 2020
DOI 10.3389/fgene.2020.00917
Pubmed ID
Authors

Rui Yuan, Shilong Chen, Yongcui Wang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 15%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Professor 1 4%
Other 1 4%
Other 2 7%
Unknown 15 56%
Readers by discipline Count As %
Computer Science 5 19%
Agricultural and Biological Sciences 3 11%
Mathematics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 16 59%
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 26 August 2020.
All research outputs
#18,078,691
of 23,232,430 outputs
Outputs from Frontiers in Genetics
#6,222
of 12,268 outputs
Outputs of similar age
#284,784
of 398,624 outputs
Outputs of similar age from Frontiers in Genetics
#242
of 444 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,268 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 398,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 444 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.