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The use of bioinformatics methods to identify the effects of SARS-CoV-2 and influenza viruses on the regulation of gene expression in patients

Overview of attention for article published in Frontiers in immunology, February 2023
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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8 Mendeley
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Title
The use of bioinformatics methods to identify the effects of SARS-CoV-2 and influenza viruses on the regulation of gene expression in patients
Published in
Frontiers in immunology, February 2023
DOI 10.3389/fimmu.2023.1098688
Pubmed ID
Authors

Zhongyi Sun, Li Ke, Qiuyue Zhao, Jiachen Qu, Yanan Hu, Han Gao, Zhiyong Peng

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Medicine and Dentistry 1 13%
Engineering 1 13%
Unknown 3 38%
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 13 March 2023.
All research outputs
#17,881,371
of 26,178,577 outputs
Outputs from Frontiers in immunology
#20,973
of 32,859 outputs
Outputs of similar age
#255,449
of 432,909 outputs
Outputs of similar age from Frontiers in immunology
#1,006
of 1,669 outputs
Altmetric has tracked 26,178,577 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,859 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 28th percentile – i.e., 28% 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 432,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,669 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.