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The non-random clustering of non-synonymous substitutions and its relationship to evolutionary rate

Overview of attention for article published in BMC Genomics, August 2011
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Title
The non-random clustering of non-synonymous substitutions and its relationship to evolutionary rate
Published in
BMC Genomics, August 2011
DOI 10.1186/1471-2164-12-415
Pubmed ID
Authors

Lisa G McFerrin, Eric A Stone

Abstract

Protein sequences are subject to a mosaic of constraint. Changes to functional domains and buried residues, for example, are more apt to disrupt protein structure and function than are changes to residues participating in loops or exposed to solvent. Regions of constraint on the tertiary structure of a protein often result in loose segmentation of its primary structure into stretches of slowly- and rapidly-evolving amino acids. This clustering can be exploited, and existing methods have done so by relying on local sequence conservation as a signature of selection to help identify functionally important regions within proteins. We invert this paradigm by leveraging the regional nature of protein structure and function to both illuminate and make use of genome-wide patterns of local sequence conservation.

Mendeley readers

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 %
United States 4 10%
United Kingdom 2 5%
Germany 1 3%
Portugal 1 3%
France 1 3%
Unknown 31 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 30%
Student > Ph. D. Student 9 23%
Professor > Associate Professor 4 10%
Student > Bachelor 3 8%
Student > Master 3 8%
Other 6 15%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 68%
Biochemistry, Genetics and Molecular Biology 4 10%
Computer Science 2 5%
Environmental Science 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 5 13%
Attention Score in Context

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 13 November 2011.
All research outputs
#15,233,109
of 22,649,029 outputs
Outputs from BMC Genomics
#6,657
of 10,605 outputs
Outputs of similar age
#74,761
of 106,705 outputs
Outputs of similar age from BMC Genomics
#41
of 74 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,605 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 106,705 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.