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Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking

Overview of attention for article published in BioData Mining, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
118 Mendeley
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Title
Identification of the active substances and mechanisms of ginger for the treatment of colon cancer based on network pharmacology and molecular docking
Published in
BioData Mining, January 2021
DOI 10.1186/s13040-020-00232-9
Pubmed ID
Authors

Meng-Meng Zhang, Dan Wang, Feng Lu, Rong Zhao, Xun Ye, Lin He, Li Ai, Chun-Jie Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 11%
Researcher 10 8%
Other 9 8%
Student > Ph. D. Student 9 8%
Student > Master 9 8%
Other 13 11%
Unknown 55 47%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 16 14%
Biochemistry, Genetics and Molecular Biology 10 8%
Computer Science 6 5%
Agricultural and Biological Sciences 6 5%
Medicine and Dentistry 5 4%
Other 20 17%
Unknown 55 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 June 2022.
All research outputs
#3,766,269
of 22,699,621 outputs
Outputs from BioData Mining
#87
of 307 outputs
Outputs of similar age
#102,327
of 499,367 outputs
Outputs of similar age from BioData Mining
#5
of 12 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 71% 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 499,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.