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Multiobjective de novo drug design with recurrent neural networks and nondominated sorting

Overview of attention for article published in Journal of Cheminformatics, February 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 (80th percentile)

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Multiobjective de novo drug design with recurrent neural networks and nondominated sorting
Published in
Journal of Cheminformatics, February 2020
DOI 10.1186/s13321-020-00419-6
Authors

Yasonik, Jacob

Twitter Demographics

The data shown below were collected from the profiles of 19 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Bachelor 3 20%
Professor > Associate Professor 3 20%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Chemistry 7 47%
Biochemistry, Genetics and Molecular Biology 2 13%
Computer Science 1 7%
Medicine and Dentistry 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 0 0%
Unknown 3 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 March 2020.
All research outputs
#1,976,006
of 15,766,185 outputs
Outputs from Journal of Cheminformatics
#208
of 621 outputs
Outputs of similar age
#48,440
of 254,767 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 3 outputs
Altmetric has tracked 15,766,185 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 621 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 66% 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 254,767 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 80% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.