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An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus

Overview of attention for article published in Journal of Genetic Engineering and Biotechnology, May 2021
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About this Attention Score

  • Among the highest-scoring outputs from this source (#49 of 348)
  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
39 Mendeley
Title
An immunoinformatics approach for the design of a multi-epitope vaccine targeting super antigen TSST-1 of Staphylococcus aureus
Published in
Journal of Genetic Engineering and Biotechnology, May 2021
DOI 10.1186/s43141-021-00160-z
Pubmed ID
Authors

Harish Babu Kolla, Chakradhar Tirumalasetty, Krupanidhi Sreerama, Vijaya Sai Ayyagari

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 10%
Unspecified 3 8%
Student > Ph. D. Student 3 8%
Student > Bachelor 2 5%
Other 1 3%
Other 4 10%
Unknown 22 56%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 10%
Unspecified 3 8%
Immunology and Microbiology 2 5%
Medicine and Dentistry 2 5%
Agricultural and Biological Sciences 2 5%
Other 3 8%
Unknown 23 59%
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 11 May 2023.
All research outputs
#8,270,333
of 25,387,668 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#49
of 348 outputs
Outputs of similar age
#172,622
of 453,877 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#6
of 26 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 348 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 84% 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 453,877 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 61% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.