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Machine and deep learning approaches for cancer drug repurposing

Overview of attention for article published in Seminars in Cancer Biology, January 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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
16 X users

Readers on

mendeley
416 Mendeley
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Article details
Title
Machine and deep learning approaches for cancer drug repurposing
Published in
Seminars in Cancer Biology, January 2020
DOI 10.1016/j.semcancer.2019.12.011
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 416 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 416 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 41 10%
Student > Ph. D. Student 39 9%
Student > Master 35 8%
Student > Bachelor 28 7%
Other 16 4%
Other 57 14%
Unknown 200 48%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 9%
Pharmacology, Toxicology and Pharmaceutical Science 34 8%
Computer Science 29 7%
Medicine and Dentistry 26 6%
Chemistry 23 6%
Other 60 14%
Unknown 207 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 February 2024.
All research outputs
#5,560,514
of 32,975,063 outputs
Outputs from Seminars in Cancer Biology
#291
of 1,665 outputs
Outputs of similar age
#97,122
of 513,506 outputs
Outputs of similar age from Seminars in Cancer Biology
#6
of 43 outputs
Altmetric has tracked 32,975,063 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,665 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 82% 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 513,506 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 81% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.