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In silico prediction of siRNA to silence the SARS-CoV-2 omicron variant targeting BA.4, BA.5, BQ.1, BQ1.1. and XBB: an alternative to traditional therapeutics

Overview of attention for article published in Future Journal of Pharmaceutical Sciences, August 2023
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  • Average Attention Score compared to outputs of the same age

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1 X user

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mendeley
2 Mendeley
Title
In silico prediction of siRNA to silence the SARS-CoV-2 omicron variant targeting BA.4, BA.5, BQ.1, BQ1.1. and XBB: an alternative to traditional therapeutics
Published in
Future Journal of Pharmaceutical Sciences, August 2023
DOI 10.1186/s43094-023-00510-3
Authors

Rahatul Islam, Asif Shahriar, Nour Fatema, Muhammad Ramiz Uddin, Mrityunjoy Acharjee, Md Mukhlesur Rahman Shepon, Avishek Sarkar, Khosnur Jahan Aurin

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
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 01 October 2023.
All research outputs
#17,301,727
of 25,394,764 outputs
Outputs from Future Journal of Pharmaceutical Sciences
#40
of 96 outputs
Outputs of similar age
#201,835
of 358,447 outputs
Outputs of similar age from Future Journal of Pharmaceutical Sciences
#4
of 4 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 96 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 41st percentile – i.e., 41% 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 358,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.