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Microsecond MD Simulation and Multiple-Conformation Virtual Screening to Identify Potential Anti-COVID-19 Inhibitors Against SARS-CoV-2 Main Protease

Overview of attention for article published in Frontiers in Chemistry, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
6 X users

Citations

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44 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Microsecond MD Simulation and Multiple-Conformation Virtual Screening to Identify Potential Anti-COVID-19 Inhibitors Against SARS-CoV-2 Main Protease
Published in
Frontiers in Chemistry, January 2021
DOI 10.3389/fchem.2020.595273
Pubmed ID
Authors

Chandrabose Selvaraj, Umesh Panwar, Dhurvas Chandrasekaran Dinesh, Evzen Boura, Poonam Singh, Vikash Kumar Dubey, Sanjeev Kumar Singh

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 13%
Student > Ph. D. Student 8 11%
Professor 6 8%
Other 4 6%
Student > Bachelor 4 6%
Other 15 21%
Unknown 26 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Chemistry 9 13%
Nursing and Health Professions 5 7%
Computer Science 3 4%
Medicine and Dentistry 3 4%
Other 12 17%
Unknown 26 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 September 2023.
All research outputs
#7,231,213
of 26,153,058 outputs
Outputs from Frontiers in Chemistry
#527
of 6,858 outputs
Outputs of similar age
#169,458
of 536,834 outputs
Outputs of similar age from Frontiers in Chemistry
#24
of 251 outputs
Altmetric has tracked 26,153,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 6,858 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 92% 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 536,834 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 68% of its contemporaries.
We're also able to compare this research output to 251 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 90% of its contemporaries.