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A chemokine gene expression signature derived from meta-analysis predicts the pathogenicity of viral respiratory infections

Overview of attention for article published in BMC Systems Biology, December 2011
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
patent
1 patent

Citations

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18 Dimensions

Readers on

mendeley
70 Mendeley
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1 CiteULike
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Title
A chemokine gene expression signature derived from meta-analysis predicts the pathogenicity of viral respiratory infections
Published in
BMC Systems Biology, December 2011
DOI 10.1186/1752-0509-5-202
Pubmed ID
Authors

Stewart T Chang, Nicolas Tchitchek, Debashis Ghosh, Arndt Benecke, Michael G Katze

Abstract

During respiratory viral infections host injury occurs due in part to inappropriate host responses. In this study we sought to uncover the host transcriptional responses underlying differences between high- and low-pathogenic infections.

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

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 1 1%
Netherlands 1 1%
Germany 1 1%
Unknown 64 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 10 14%
Student > Bachelor 8 11%
Professor > Associate Professor 6 9%
Student > Master 5 7%
Other 13 19%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 27%
Medicine and Dentistry 14 20%
Biochemistry, Genetics and Molecular Biology 4 6%
Computer Science 3 4%
Immunology and Microbiology 3 4%
Other 14 20%
Unknown 13 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2022.
All research outputs
#7,366,161
of 23,948,870 outputs
Outputs from BMC Systems Biology
#269
of 1,134 outputs
Outputs of similar age
#65,904
of 248,762 outputs
Outputs of similar age from BMC Systems Biology
#25
of 49 outputs
Altmetric has tracked 23,948,870 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,134 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 248,762 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.