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Exploring active ingredients and function mechanisms of Ephedra-bitter almond for prevention and treatment of Corona virus disease 2019 (COVID-19) based on network pharmacology

Overview of attention for article published in BioData Mining, November 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Exploring active ingredients and function mechanisms of Ephedra-bitter almond for prevention and treatment of Corona virus disease 2019 (COVID-19) based on network pharmacology
Published in
BioData Mining, November 2020
DOI 10.1186/s13040-020-00229-4
Pubmed ID
Authors

Kai Gao, Yan-Ping Song, Anna Song

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 11%
Student > Postgraduate 5 8%
Student > Master 5 8%
Student > Doctoral Student 5 8%
Other 4 6%
Other 14 23%
Unknown 22 35%
Readers by discipline Count As %
Nursing and Health Professions 9 15%
Medicine and Dentistry 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 6 10%
Biochemistry, Genetics and Molecular Biology 4 6%
Psychology 3 5%
Other 11 18%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 December 2022.
All research outputs
#14,280,301
of 23,332,901 outputs
Outputs from BioData Mining
#203
of 313 outputs
Outputs of similar age
#219,438
of 416,396 outputs
Outputs of similar age from BioData Mining
#3
of 5 outputs
Altmetric has tracked 23,332,901 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 33rd percentile – i.e., 33% 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 416,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.