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Efficient ring perception for the Chemistry Development Kit

Overview of attention for article published in Journal of Cheminformatics, January 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters
wikipedia
4 Wikipedia pages
googleplus
3 Google+ users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
4 CiteULike
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Title
Efficient ring perception for the Chemistry Development Kit
Published in
Journal of Cheminformatics, January 2014
DOI 10.1186/1758-2946-6-3
Pubmed ID
Authors

John W May, Christoph Steinbeck

Abstract

The Chemistry Development Kit (CDK) is an open source Java library for manipulating and processing chemical information. A key aspect in handling chemical structures is the determination of the chemical rings. The rings of a structure are used areas including descriptors, stereochemistry, similarity, screening and atom typing. The CDK includes multiple algorithms for determining the rings of a structure on demand. Non-unique descriptions of rings were often used due to the slower performance of the unique alternatives.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 8%
Portugal 1 3%
United Kingdom 1 3%
Canada 1 3%
Unknown 34 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 35%
Student > Ph. D. Student 11 28%
Other 4 10%
Student > Master 4 10%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 3 8%
Readers by discipline Count As %
Chemistry 14 35%
Biochemistry, Genetics and Molecular Biology 5 13%
Computer Science 4 10%
Agricultural and Biological Sciences 4 10%
Chemical Engineering 2 5%
Other 7 18%
Unknown 4 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 31 August 2020.
All research outputs
#1,424,082
of 18,783,186 outputs
Outputs from Journal of Cheminformatics
#135
of 707 outputs
Outputs of similar age
#20,367
of 273,458 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 5 outputs
Altmetric has tracked 18,783,186 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 707 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 80% 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 273,458 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 92% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them