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Luteolin and abyssinone II as potential inhibitors of SARS-CoV-2: an in silico molecular modeling approach in battling the COVID-19 outbreak

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 168)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
25 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
91 Mendeley
Title
Luteolin and abyssinone II as potential inhibitors of SARS-CoV-2: an in silico molecular modeling approach in battling the COVID-19 outbreak
Published in
Bulletin of the National Research Centre, January 2021
DOI 10.1186/s42269-020-00479-6
Pubmed ID
Authors

Mohammad Mahfuz Ali Khan Shawan, Sajal Kumar Halder, Md. Ashraful Hasan

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 11%
Student > Bachelor 10 11%
Researcher 9 10%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 5 5%
Other 8 9%
Unknown 42 46%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 9 10%
Biochemistry, Genetics and Molecular Biology 9 10%
Medicine and Dentistry 8 9%
Chemistry 7 8%
Nursing and Health Professions 4 4%
Other 12 13%
Unknown 42 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 04 September 2023.
All research outputs
#1,674,693
of 25,446,666 outputs
Outputs from Bulletin of the National Research Centre
#12
of 168 outputs
Outputs of similar age
#46,523
of 524,082 outputs
Outputs of similar age from Bulletin of the National Research Centre
#2
of 12 outputs
Altmetric has tracked 25,446,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 168 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 93% 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 524,082 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 12 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 91% of its contemporaries.