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In silico identification of compounds from Nigella sativa seed oil as potential inhibitors of SARS-CoV-2 targets

Overview of attention for article published in Bulletin of the National Research Centre, March 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

twitter
48 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
44 Mendeley
Title
In silico identification of compounds from Nigella sativa seed oil as potential inhibitors of SARS-CoV-2 targets
Published in
Bulletin of the National Research Centre, March 2021
DOI 10.1186/s42269-021-00517-x
Pubmed ID
Authors

Chidi Edbert Duru, Ijeoma Akunna Duru, Abayomi Emmanuel Adegboyega

Twitter Demographics

The data shown below were collected from the profiles of 48 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 14%
Student > Bachelor 4 9%
Lecturer 4 9%
Researcher 3 7%
Student > Postgraduate 3 7%
Other 8 18%
Unknown 16 36%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 9 20%
Medicine and Dentistry 5 11%
Biochemistry, Genetics and Molecular Biology 5 11%
Agricultural and Biological Sciences 2 5%
Chemical Engineering 2 5%
Other 5 11%
Unknown 16 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 05 January 2022.
All research outputs
#964,141
of 20,091,699 outputs
Outputs from Bulletin of the National Research Centre
#2
of 72 outputs
Outputs of similar age
#30,326
of 370,393 outputs
Outputs of similar age from Bulletin of the National Research Centre
#1
of 1 outputs
Altmetric has tracked 20,091,699 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 72 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 98% 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 370,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them