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Mapping small molecule binding data to structural domains

Overview of attention for article published in BMC Bioinformatics, December 2012
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
5 CiteULike
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Title
Mapping small molecule binding data to structural domains
Published in
BMC Bioinformatics, December 2012
DOI 10.1186/1471-2105-13-s17-s11
Pubmed ID
Authors

Felix A Kruger, Raghd Rostom, John P Overington

Abstract

Large-scale bioactivity/SAR Open Data has recently become available, and this has allowed new analyses and approaches to be developed to help address the productivity and translational gaps of current drug discovery. One of the current limitations of these data is the relative sparsity of reported interactions per protein target, and complexities in establishing clear relationships between bioactivity and targets using bioinformatics tools. We detail in this paper the indexing of targets by the structural domains that bind (or are likely to bind) the ligand within a full-length protein. Specifically, we present a simple heuristic to map small molecule binding to Pfam domains. This profiling can be applied to all proteins within a genome to give some indications of the potential pharmacological modulation and regulation of all proteins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
France 1 1%
Germany 1 1%
China 1 1%
Spain 1 1%
Unknown 66 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 26%
Student > Ph. D. Student 11 15%
Student > Master 11 15%
Student > Postgraduate 7 10%
Student > Bachelor 6 8%
Other 15 21%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 35%
Biochemistry, Genetics and Molecular Biology 12 17%
Chemistry 11 15%
Computer Science 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Other 10 14%
Unknown 2 3%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 November 2014.
All research outputs
#4,490,363
of 22,689,790 outputs
Outputs from BMC Bioinformatics
#1,706
of 7,255 outputs
Outputs of similar age
#47,282
of 278,829 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 138 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 76% 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 278,829 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 83% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.