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Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution

Overview of attention for article published in BMC Genomics, August 2017
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1 X user

Citations

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42 Dimensions

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35 Mendeley
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Title
Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution
Published in
BMC Genomics, August 2017
DOI 10.1186/s12864-017-4063-1
Pubmed ID
Authors

Bidhan Ch. Bera, Nitin Virmani, Naveen Kumar, Taruna Anand, S Pavulraj, Adam Rash, Debra Elton, Nicola Rash, Sandeep Bhatia, Richa Sood, Raj Kumar Singh, Bhupendra Nath Tripathi

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

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 6 17%
Student > Master 5 14%
Student > Doctoral Student 2 6%
Lecturer 2 6%
Other 4 11%
Unknown 10 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 20%
Agricultural and Biological Sciences 6 17%
Environmental Science 4 11%
Immunology and Microbiology 3 9%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 6%
Unknown 12 34%
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 28 May 2023.
All research outputs
#20,229,167
of 24,871,735 outputs
Outputs from BMC Genomics
#8,599
of 11,094 outputs
Outputs of similar age
#250,403
of 322,403 outputs
Outputs of similar age from BMC Genomics
#161
of 206 outputs
Altmetric has tracked 24,871,735 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,094 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 322,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.