↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 546)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
27 news outlets
blogs
5 blogs
twitter
41 tweeters
facebook
4 Facebook pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
131 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

Twitter Demographics

The data shown below were collected from the profiles of 41 tweeters 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 24%
Student > Ph. D. Student 23 18%
Student > Master 9 7%
Student > Bachelor 8 6%
Student > Doctoral Student 5 4%
Other 14 11%
Unknown 40 31%
Readers by discipline Count As %
Computer Science 14 11%
Biochemistry, Genetics and Molecular Biology 13 10%
Medicine and Dentistry 10 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Agricultural and Biological Sciences 6 5%
Other 35 27%
Unknown 47 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 241. 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
#127,684
of 22,785,242 outputs
Outputs from Nature Machine Intelligence
#26
of 546 outputs
Outputs of similar age
#3,949
of 499,043 outputs
Outputs of similar age from Nature Machine Intelligence
#1
of 37 outputs
Altmetric has tracked 22,785,242 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 546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.6. This one has done particularly well, scoring higher than 95% 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 499,043 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 99% of its contemporaries.