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Randomized SMILES strings improve the quality of molecular generative models

Overview of attention for article published in Journal of Cheminformatics, November 2019
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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 (#39 of 833)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
4 blogs
twitter
22 tweeters

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
201 Mendeley
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Title
Randomized SMILES strings improve the quality of molecular generative models
Published in
Journal of Cheminformatics, November 2019
DOI 10.1186/s13321-019-0393-0
Pubmed ID
Authors

Josep Arús-Pous, Simon Viet Johansson, Oleksii Prykhodko, Esben Jannik Bjerrum, Christian Tyrchan, Jean-Louis Reymond, Hongming Chen, Ola Engkvist

Twitter Demographics

The data shown below were collected from the profiles of 22 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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 23%
Student > Ph. D. Student 34 17%
Student > Master 25 12%
Student > Bachelor 20 10%
Other 9 4%
Other 13 6%
Unknown 53 26%
Readers by discipline Count As %
Chemistry 47 23%
Computer Science 28 14%
Biochemistry, Genetics and Molecular Biology 19 9%
Engineering 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Other 26 13%
Unknown 65 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 07 December 2022.
All research outputs
#976,968
of 22,828,180 outputs
Outputs from Journal of Cheminformatics
#39
of 833 outputs
Outputs of similar age
#25,347
of 455,274 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 19 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. 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 455,274 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 94% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.