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QSAR, homology modeling, and docking simulation on SARS-CoV-2 and pseudomonas aeruginosa inhibitors, ADMET, and molecular dynamic simulations to find a possible oral lead candidate

Overview of attention for article published in Journal of Genetic Engineering and Biotechnology, December 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 345)
  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
23 Mendeley
Title
QSAR, homology modeling, and docking simulation on SARS-CoV-2 and pseudomonas aeruginosa inhibitors, ADMET, and molecular dynamic simulations to find a possible oral lead candidate
Published in
Journal of Genetic Engineering and Biotechnology, December 2022
DOI 10.1186/s43141-022-00362-z
Pubmed ID
Authors

Emmanuel Israel Edache, Adamu Uzairu, Paul Andrew Mamza, Gideon Adamu Shallangwa

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 > Bachelor 2 9%
Professor > Associate Professor 2 9%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Lecturer 1 4%
Other 2 9%
Unknown 12 52%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Engineering 2 9%
Immunology and Microbiology 1 4%
Nursing and Health Professions 1 4%
Other 2 9%
Unknown 12 52%
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 22 January 2023.
All research outputs
#8,179,323
of 25,231,854 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#48
of 345 outputs
Outputs of similar age
#156,926
of 488,553 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#1
of 11 outputs
Altmetric has tracked 25,231,854 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 345 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 488,553 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 67% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.