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Evaluating the effects of circulating inflammatory proteins as drivers and therapeutic targets for severe COVID-19

Overview of attention for article published in Frontiers in immunology, February 2024
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1 X user

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5 Mendeley
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Title
Evaluating the effects of circulating inflammatory proteins as drivers and therapeutic targets for severe COVID-19
Published in
Frontiers in immunology, February 2024
DOI 10.3389/fimmu.2024.1352583
Pubmed ID
Authors

Ancha Baranova, Jing Luo, Li Fu, Guanqun Yao, Fuquan Zhang

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 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 %
Researcher 2 40%
Unknown 3 60%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 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 08 March 2024.
All research outputs
#23,208,433
of 25,864,668 outputs
Outputs from Frontiers in immunology
#28,085
of 32,510 outputs
Outputs of similar age
#276,423
of 341,201 outputs
Outputs of similar age from Frontiers in immunology
#906
of 1,216 outputs
Altmetric has tracked 25,864,668 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 32,510 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 341,201 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 1,216 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.