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Identifying host-specific amino acid signatures for influenza A viruses using an adjusted entropy measure

Overview of attention for article published in BMC Bioinformatics, August 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
5 Mendeley
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Title
Identifying host-specific amino acid signatures for influenza A viruses using an adjusted entropy measure
Published in
BMC Bioinformatics, August 2022
DOI 10.1186/s12859-022-04885-7
Pubmed ID
Authors

Yixiang Zhang, Kent M. Eskridge, Shunpu Zhang, Guoqing Lu

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 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 %
Unspecified 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Unknown 2 40%
Readers by discipline Count As %
Unspecified 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Computer Science 1 20%
Engineering 1 20%
Unknown 1 20%
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 14 August 2022.
All research outputs
#7,824,235
of 24,267,449 outputs
Outputs from BMC Bioinformatics
#2,969
of 7,510 outputs
Outputs of similar age
#142,874
of 420,164 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 133 outputs
Altmetric has tracked 24,267,449 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,510 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 58% 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 420,164 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 65% of its contemporaries.
We're also able to compare this research output to 133 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 68% of its contemporaries.