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SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolides

Overview of attention for article published in Journal of Cheminformatics, April 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)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
18 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
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Title
SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolides
Published in
Journal of Cheminformatics, April 2020
DOI 10.1186/s13321-020-00427-6
Authors

Phyo Phyo Kyaw Zin, Gavin Williams, Denis Fourches

Twitter Demographics

The data shown below were collected from the profiles of 18 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 3 15%
Other 2 10%
Professor > Associate Professor 2 10%
Student > Master 1 5%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Chemistry 7 35%
Biochemistry, Genetics and Molecular Biology 2 10%
Environmental Science 1 5%
Mathematics 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 6 30%

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 04 May 2020.
All research outputs
#3,221,769
of 23,837,558 outputs
Outputs from Journal of Cheminformatics
#318
of 879 outputs
Outputs of similar age
#74,812
of 375,360 outputs
Outputs of similar age from Journal of Cheminformatics
#9
of 21 outputs
Altmetric has tracked 23,837,558 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 879 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 gotten more attention than average, scoring higher than 63% 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 375,360 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 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.