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Fast, efficient fragment-based coordinate generation for Open Babel

Overview of attention for article published in Journal of Cheminformatics, August 2019
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
17 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
112 Mendeley
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Title
Fast, efficient fragment-based coordinate generation for Open Babel
Published in
Journal of Cheminformatics, August 2019
DOI 10.1186/s13321-019-0372-5
Pubmed ID
Authors

Naruki Yoshikawa, Geoffrey R. Hutchison

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 21 19%
Student > Bachelor 14 13%
Student > Master 6 5%
Student > Doctoral Student 5 4%
Other 12 11%
Unknown 31 28%
Readers by discipline Count As %
Chemistry 35 31%
Biochemistry, Genetics and Molecular Biology 10 9%
Computer Science 7 6%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Physics and Astronomy 4 4%
Other 15 13%
Unknown 36 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 02 March 2023.
All research outputs
#1,670,305
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#133
of 891 outputs
Outputs of similar age
#36,097
of 350,271 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 18 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 93rd percentile: it's in the top 10% 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 well, scoring higher than 85% 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 350,271 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 89% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.