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Chemical language models for de novo drug design: Challenges and opportunities

Overview of attention for article published in Current Opinion in Structural Biology, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 2,096)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
52 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
81 Mendeley
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Title
Chemical language models for de novo drug design: Challenges and opportunities
Published in
Current Opinion in Structural Biology, February 2023
DOI 10.1016/j.sbi.2023.102527
Pubmed ID
Authors

Francesca Grisoni

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 9 11%
Student > Master 6 7%
Student > Bachelor 5 6%
Unspecified 4 5%
Other 14 17%
Unknown 27 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 15%
Chemistry 10 12%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Computer Science 5 6%
Unspecified 4 5%
Other 14 17%
Unknown 30 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 27 January 2024.
All research outputs
#1,327,235
of 25,761,363 outputs
Outputs from Current Opinion in Structural Biology
#22
of 2,096 outputs
Outputs of similar age
#28,503
of 476,730 outputs
Outputs of similar age from Current Opinion in Structural Biology
#2
of 32 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,096 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 98% 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 476,730 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 32 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 93% of its contemporaries.