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Identifying Effective Antiviral Drugs Against SARS-CoV-2 by Drug Repositioning Through Virus-Drug Association Prediction

Overview of attention for article published in Frontiers in Genetics, September 2020
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1 X user

Readers on

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49 Mendeley
Title
Identifying Effective Antiviral Drugs Against SARS-CoV-2 by Drug Repositioning Through Virus-Drug Association Prediction
Published in
Frontiers in Genetics, September 2020
DOI 10.3389/fgene.2020.577387
Pubmed ID
Authors

Lihong Peng, Xiongfei Tian, Ling Shen, Ming Kuang, Tianbao Li, Geng Tian, Jialiang Yang, Liqian Zhou

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

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Master 6 12%
Student > Bachelor 5 10%
Other 4 8%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 15 31%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Biochemistry, Genetics and Molecular Biology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Chemistry 3 6%
Agricultural and Biological Sciences 2 4%
Other 10 20%
Unknown 18 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 October 2020.
All research outputs
#20,658,463
of 23,253,955 outputs
Outputs from Frontiers in Genetics
#8,877
of 12,283 outputs
Outputs of similar age
#322,264
of 376,573 outputs
Outputs of similar age from Frontiers in Genetics
#346
of 457 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,283 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 376,573 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 457 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.