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Computational Prediction of Potential Inhibitors of the Main Protease of SARS-CoV-2

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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10 X users
facebook
1 Facebook page

Citations

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28 Dimensions

Readers on

mendeley
86 Mendeley
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Title
Computational Prediction of Potential Inhibitors of the Main Protease of SARS-CoV-2
Published in
Frontiers in Chemistry, December 2020
DOI 10.3389/fchem.2020.590263
Pubmed ID
Authors

Renata Abel, María Paredes Ramos, Qiaofeng Chen, Horacio Pérez-Sánchez, Flaminia Coluzzi, Monica Rocco, Paolo Marchetti, Cameron Mura, Maurizio Simmaco, Philip E. Bourne, Robert Preissner, Priyanka Banerjee

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 13%
Student > Ph. D. Student 9 10%
Student > Bachelor 9 10%
Student > Master 7 8%
Professor 6 7%
Other 17 20%
Unknown 27 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 13%
Chemistry 8 9%
Nursing and Health Professions 7 8%
Medicine and Dentistry 6 7%
Neuroscience 3 3%
Other 18 21%
Unknown 33 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 November 2021.
All research outputs
#4,273,676
of 23,340,595 outputs
Outputs from Frontiers in Chemistry
#289
of 6,124 outputs
Outputs of similar age
#114,801
of 504,579 outputs
Outputs of similar age from Frontiers in Chemistry
#16
of 314 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,124 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 95% 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 504,579 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 77% of its contemporaries.
We're also able to compare this research output to 314 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 94% of its contemporaries.