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Drug Repurposing for Candidate SARS-CoV-2 Main Protease Inhibitors by a Novel In Silico Method

Overview of attention for article published in Molecules, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
121 Mendeley
Title
Drug Repurposing for Candidate SARS-CoV-2 Main Protease Inhibitors by a Novel In Silico Method
Published in
Molecules, August 2020
DOI 10.3390/molecules25173830
Pubmed ID
Authors

Milan Sencanski, Vladimir Perovic, Snezana B. Pajovic, Miroslav Adzic, Slobodan Paessler, Sanja Glisic

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 13%
Researcher 13 11%
Student > Master 10 8%
Student > Doctoral Student 9 7%
Other 7 6%
Other 30 25%
Unknown 36 30%
Readers by discipline Count As %
Medicine and Dentistry 18 15%
Biochemistry, Genetics and Molecular Biology 15 12%
Engineering 8 7%
Agricultural and Biological Sciences 7 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Other 28 23%
Unknown 39 32%
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 30 December 2021.
All research outputs
#6,946,945
of 22,780,165 outputs
Outputs from Molecules
#3,594
of 19,537 outputs
Outputs of similar age
#151,371
of 397,724 outputs
Outputs of similar age from Molecules
#122
of 657 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 19,537 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 397,724 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 61% of its contemporaries.
We're also able to compare this research output to 657 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.