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Discovering Anti-Cancer Drugs via Computational Methods

Overview of attention for article published in Frontiers in Pharmacology, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
12 X users

Citations

dimensions_citation
159 Dimensions

Readers on

mendeley
350 Mendeley
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Title
Discovering Anti-Cancer Drugs via Computational Methods
Published in
Frontiers in Pharmacology, May 2020
DOI 10.3389/fphar.2020.00733
Pubmed ID
Authors

Wenqiang Cui, Adnane Aouidate, Shouguo Wang, Qiuliyang Yu, Yanhua Li, Shuguang Yuan

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 350 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 14%
Student > Master 31 9%
Researcher 30 9%
Student > Bachelor 23 7%
Other 16 5%
Other 41 12%
Unknown 160 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 55 16%
Chemistry 40 11%
Pharmacology, Toxicology and Pharmaceutical Science 34 10%
Agricultural and Biological Sciences 13 4%
Medicine and Dentistry 6 2%
Other 39 11%
Unknown 163 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 10 July 2022.
All research outputs
#2,413,470
of 24,541,341 outputs
Outputs from Frontiers in Pharmacology
#983
of 18,561 outputs
Outputs of similar age
#62,000
of 394,201 outputs
Outputs of similar age from Frontiers in Pharmacology
#38
of 487 outputs
Altmetric has tracked 24,541,341 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,561 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% 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 394,201 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 84% of its contemporaries.
We're also able to compare this research output to 487 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.