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A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data

Overview of attention for article published in Nature Machine Intelligence, January 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 734)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
27 news outlets
blogs
5 blogs
twitter
39 X users
facebook
4 Facebook pages

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
155 Mendeley
Title
A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data
Published in
Nature Machine Intelligence, January 2021
DOI 10.1038/s42256-020-00276-w
Pubmed ID
Authors

Ruoqi Liu, Lai Wei, Ping Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 24%
Student > Ph. D. Student 27 17%
Student > Master 11 7%
Student > Bachelor 8 5%
Student > Doctoral Student 5 3%
Other 17 11%
Unknown 50 32%
Readers by discipline Count As %
Computer Science 16 10%
Biochemistry, Genetics and Molecular Biology 15 10%
Medicine and Dentistry 12 8%
Engineering 8 5%
Agricultural and Biological Sciences 7 5%
Other 41 26%
Unknown 56 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 238. 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 06 December 2021.
All research outputs
#157,179
of 25,284,710 outputs
Outputs from Nature Machine Intelligence
#38
of 734 outputs
Outputs of similar age
#4,447
of 519,159 outputs
Outputs of similar age from Nature Machine Intelligence
#2
of 37 outputs
Altmetric has tracked 25,284,710 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 734 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.7. 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 519,159 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 37 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 97% of its contemporaries.