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PA-X antagonises MAVS-dependent accumulation of early type I interferon messenger RNAs during influenza A virus infection

Overview of attention for article published in Scientific Reports, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
23 Mendeley
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Title
PA-X antagonises MAVS-dependent accumulation of early type I interferon messenger RNAs during influenza A virus infection
Published in
Scientific Reports, May 2019
DOI 10.1038/s41598-019-43632-6
Pubmed ID
Authors

Rachel E. Rigby, Helen M. Wise, Nikki Smith, Paul Digard, Jan Rehwinkel

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 5 22%
Other 2 9%
Professor 2 9%
Student > Doctoral Student 1 4%
Other 3 13%
Unknown 5 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 30%
Immunology and Microbiology 5 22%
Medicine and Dentistry 3 13%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 5 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 October 2020.
All research outputs
#3,742,187
of 23,316,003 outputs
Outputs from Scientific Reports
#30,060
of 126,043 outputs
Outputs of similar age
#76,474
of 351,127 outputs
Outputs of similar age from Scientific Reports
#808
of 3,061 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 126,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 76% 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 351,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 3,061 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.