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A tree-based method for the rapid screening of chemical fingerprints

Overview of attention for article published in Algorithms for Molecular Biology, January 2010
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Mentioned by

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1 Facebook page

Citations

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23 Dimensions

Readers on

mendeley
11 Mendeley
citeulike
2 CiteULike
Title
A tree-based method for the rapid screening of chemical fingerprints
Published in
Algorithms for Molecular Biology, January 2010
DOI 10.1186/1748-7188-5-9
Pubmed ID
Authors

Thomas G Kristensen, Jesper Nielsen, Christian NS Pedersen

Abstract

The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fingerprints can be used in an initial phase of drug development for identifying novel drug candidates by screening large databases for molecules with fingerprints similar to a query fingerprint.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 9%
Unknown 10 91%
Readers by discipline Count As %
Computer Science 1 9%
Unknown 10 91%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 November 2011.
All research outputs
#2,906,853
of 3,627,074 outputs
Outputs from Algorithms for Molecular Biology
#60
of 97 outputs
Outputs of similar age
#66,225
of 85,514 outputs
Outputs of similar age from Algorithms for Molecular Biology
#5
of 7 outputs
Altmetric has tracked 3,627,074 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 85,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.