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Small Molecule Subgraph Detector (SMSD) toolkit

Overview of attention for article published in Journal of Cheminformatics, August 2009
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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 (94th percentile)

Mentioned by

blogs
3 blogs
patent
12 patents
wikipedia
9 Wikipedia pages

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
15 CiteULike
connotea
1 Connotea
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Title
Small Molecule Subgraph Detector (SMSD) toolkit
Published in
Journal of Cheminformatics, August 2009
DOI 10.1186/1758-2946-1-12
Pubmed ID
Authors

Syed Asad Rahman, Matthew Bashton, Gemma L Holliday, Rainer Schrader, Janet M Thornton

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
United States 4 3%
India 3 2%
Germany 2 1%
Netherlands 2 1%
Ireland 1 <1%
South Africa 1 <1%
Argentina 1 <1%
Sri Lanka 1 <1%
Other 2 1%
Unknown 123 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 39 27%
Student > Bachelor 15 10%
Other 11 8%
Professor 9 6%
Other 21 14%
Unknown 11 8%
Readers by discipline Count As %
Computer Science 33 23%
Agricultural and Biological Sciences 30 21%
Chemistry 19 13%
Biochemistry, Genetics and Molecular Biology 16 11%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 25 17%
Unknown 16 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 10 August 2020.
All research outputs
#1,500,487
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#88
of 984 outputs
Outputs of similar age
#4,631
of 128,214 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 4 outputs
Altmetric has tracked 25,837,817 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 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 91% 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 128,214 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 4 others from the same source and published within six weeks on either side of this one.