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Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19

Overview of attention for article published in Frontiers in immunology, January 2021
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Mentioned by

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1 X user

Citations

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55 Dimensions

Readers on

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47 Mendeley
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Title
Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19
Published in
Frontiers in immunology, January 2021
DOI 10.3389/fimmu.2020.603615
Pubmed ID
Authors

Xianfang Tang, Lijun Cai, Yajie Meng, JunLin Xu, Changcheng Lu, Jialiang Yang

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

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 11%
Student > Master 5 11%
Student > Postgraduate 4 9%
Other 3 6%
Student > Bachelor 3 6%
Other 12 26%
Unknown 15 32%
Readers by discipline Count As %
Computer Science 7 15%
Unspecified 5 11%
Medicine and Dentistry 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Nursing and Health Professions 2 4%
Other 6 13%
Unknown 19 40%
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 01 November 2021.
All research outputs
#17,470,971
of 25,628,260 outputs
Outputs from Frontiers in immunology
#20,625
of 32,065 outputs
Outputs of similar age
#334,937
of 532,709 outputs
Outputs of similar age from Frontiers in immunology
#709
of 1,056 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,065 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 28th percentile – i.e., 28% 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 532,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,056 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.