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Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds

Overview of attention for article published in Journal of Cheminformatics, November 2018
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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 (#21 of 891)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
5 news outlets
twitter
20 X users
facebook
1 Facebook page
video
1 YouTube creator

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds
Published in
Journal of Cheminformatics, November 2018
DOI 10.1186/s13321-018-0307-6
Pubmed ID
Authors

Phyo Phyo Kyaw Zin, Gavin Williams, Denis Fourches

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 6 19%
Student > Bachelor 2 6%
Librarian 2 6%
Other 2 6%
Other 5 16%
Unknown 7 22%
Readers by discipline Count As %
Chemistry 11 34%
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Physics and Astronomy 1 3%
Other 3 9%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 13 February 2020.
All research outputs
#799,728
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#21
of 891 outputs
Outputs of similar age
#17,869
of 348,827 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 21 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 97% 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 348,827 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 21 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 95% of its contemporaries.