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Co-expression network analysis identifies potential candidate hub genes in severe influenza patients needing invasive mechanical ventilation

Overview of attention for article published in BMC Genomics, October 2022
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2 X users

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3 Mendeley
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Title
Co-expression network analysis identifies potential candidate hub genes in severe influenza patients needing invasive mechanical ventilation
Published in
BMC Genomics, October 2022
DOI 10.1186/s12864-022-08915-9
Pubmed ID
Authors

Liang Chen, Jie Hua, Xiaopu He

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Environmental Science 1 33%
Unknown 2 67%
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 16 October 2022.
All research outputs
#19,339,608
of 24,626,543 outputs
Outputs from BMC Genomics
#7,984
of 11,023 outputs
Outputs of similar age
#298,259
of 432,273 outputs
Outputs of similar age from BMC Genomics
#90
of 117 outputs
Altmetric has tracked 24,626,543 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,023 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% 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 432,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.