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Molecular docking and pharmacokinetic studies of phytocompounds from Nigerian Medicinal Plants as promising inhibitory agents against SARS-CoV-2 methyltransferase (nsp16)

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

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 X users

Citations

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8 Dimensions

Readers on

mendeley
36 Mendeley
Title
Molecular docking and pharmacokinetic studies of phytocompounds from Nigerian Medicinal Plants as promising inhibitory agents against SARS-CoV-2 methyltransferase (nsp16)
Published in
Journal of Genetic Engineering and Biotechnology, November 2021
DOI 10.1186/s43141-021-00273-5
Pubmed ID
Authors

Tolulope Peter Saliu, Haruna I. Umar, Olawale Johnson Ogunsile, Micheal O. Okpara, Noriyuki Yanaka, Olusola Olalekan Elekofehinti

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Master 5 14%
Student > Bachelor 4 11%
Student > Ph. D. Student 3 8%
Unspecified 1 3%
Other 2 6%
Unknown 16 44%
Readers by discipline Count As %
Chemistry 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Medicine and Dentistry 2 6%
Social Sciences 2 6%
Other 6 17%
Unknown 16 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 November 2021.
All research outputs
#16,734,944
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#103
of 348 outputs
Outputs of similar age
#248,359
of 441,011 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#5
of 16 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 348 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 64% 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 441,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 62% of its contemporaries.