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Examining the effector mechanisms of Xuebijing injection on COVID-19 based on network pharmacology

Overview of attention for article published in BioData Mining, October 2020
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Mentioned by

twitter
1 tweeter

Citations

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23 Dimensions

Readers on

mendeley
63 Mendeley
Title
Examining the effector mechanisms of Xuebijing injection on COVID-19 based on network pharmacology
Published in
BioData Mining, October 2020
DOI 10.1186/s13040-020-00227-6
Pubmed ID
Authors

Wen-jiang Zheng, Qian Yan, Yong-shi Ni, Shao-feng Zhan, Liu-liu Yang, Hong-fa Zhuang, Xiao-hong Liu, Yong Jiang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Bachelor 10 16%
Student > Doctoral Student 4 6%
Other 4 6%
Student > Master 4 6%
Other 7 11%
Unknown 19 30%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Biochemistry, Genetics and Molecular Biology 10 16%
Agricultural and Biological Sciences 4 6%
Nursing and Health Professions 3 5%
Psychology 3 5%
Other 13 21%
Unknown 18 29%

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 23 October 2020.
All research outputs
#16,980,914
of 19,195,752 outputs
Outputs from BioData Mining
#264
of 286 outputs
Outputs of similar age
#329,905
of 388,852 outputs
Outputs of similar age from BioData Mining
#12
of 16 outputs
Altmetric has tracked 19,195,752 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 286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 388,852 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 16 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.