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Computational Studies of Hydroxychloroquine and Chloroquine Metabolites as Possible Candidates for Coronavirus (COVID-19) Treatment

Overview of attention for article published in Frontiers in Pharmacology, November 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Computational Studies of Hydroxychloroquine and Chloroquine Metabolites as Possible Candidates for Coronavirus (COVID-19) Treatment
Published in
Frontiers in Pharmacology, November 2020
DOI 10.3389/fphar.2020.569665
Pubmed ID
Authors

Niteen A. Vaidya, Renu Vyas

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 14%
Student > Doctoral Student 7 11%
Researcher 6 9%
Student > Ph. D. Student 5 8%
Student > Postgraduate 5 8%
Other 12 18%
Unknown 21 32%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Biochemistry, Genetics and Molecular Biology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Psychology 4 6%
Nursing and Health Professions 3 5%
Other 12 18%
Unknown 22 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2020.
All research outputs
#12,903,552
of 23,267,128 outputs
Outputs from Frontiers in Pharmacology
#3,528
of 16,699 outputs
Outputs of similar age
#180,921
of 415,471 outputs
Outputs of similar age from Frontiers in Pharmacology
#111
of 474 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,699 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 415,471 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 55% of its contemporaries.
We're also able to compare this research output to 474 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.