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Identification of Potential Inhibitors of 3CL Protease of SARS-CoV-2 From ZINC Database by Molecular Docking-Based Virtual Screening

Overview of attention for article published in Frontiers in Molecular Biosciences, December 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
6 X users
patent
1 patent

Readers on

mendeley
100 Mendeley
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Title
Identification of Potential Inhibitors of 3CL Protease of SARS-CoV-2 From ZINC Database by Molecular Docking-Based Virtual Screening
Published in
Frontiers in Molecular Biosciences, December 2020
DOI 10.3389/fmolb.2020.603037
Pubmed ID
Authors

Ashraf Ahmed Ali Abdusalam, Vikneswaran Murugaiyah

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 14%
Student > Bachelor 12 12%
Student > Ph. D. Student 11 11%
Student > Master 8 8%
Student > Postgraduate 5 5%
Other 14 14%
Unknown 36 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 16%
Chemistry 11 11%
Pharmacology, Toxicology and Pharmaceutical Science 9 9%
Medicine and Dentistry 6 6%
Nursing and Health Professions 5 5%
Other 12 12%
Unknown 41 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 13 July 2022.
All research outputs
#2,602,473
of 23,983,331 outputs
Outputs from Frontiers in Molecular Biosciences
#166
of 4,267 outputs
Outputs of similar age
#66,866
of 480,480 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#16
of 191 outputs
Altmetric has tracked 23,983,331 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,267 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 96% 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 480,480 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 191 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 92% of its contemporaries.