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Modeling coding-sequence evolution within the context of residue solvent accessibility

Overview of attention for article published in BMC Evolutionary Biology, September 2012
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Mentioned by

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3 tweeters

Citations

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39 Dimensions

Readers on

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46 Mendeley
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Title
Modeling coding-sequence evolution within the context of residue solvent accessibility
Published in
BMC Evolutionary Biology, September 2012
DOI 10.1186/1471-2148-12-179
Pubmed ID
Authors

Michael P Scherrer, Austin G Meyer, Claus O Wilke

Abstract

Protein structure mediates site-specific patterns of sequence divergence. In particular, residues in the core of a protein (solvent-inaccessible residues) tend to be more evolutionarily conserved than residues on the surface (solvent-accessible residues).

Twitter Demographics

The data shown below were collected from the profiles of 3 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
Taiwan 1 2%
Canada 1 2%
Finland 1 2%
United States 1 2%
Unknown 40 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 9 20%
Student > Postgraduate 6 13%
Student > Bachelor 5 11%
Student > Master 4 9%
Other 7 15%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 63%
Biochemistry, Genetics and Molecular Biology 10 22%
Nursing and Health Professions 1 2%
Psychology 1 2%
Physics and Astronomy 1 2%
Other 1 2%
Unknown 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 September 2012.
All research outputs
#10,820,408
of 17,347,018 outputs
Outputs from BMC Evolutionary Biology
#2,067
of 2,801 outputs
Outputs of similar age
#80,196
of 141,166 outputs
Outputs of similar age from BMC Evolutionary Biology
#1
of 1 outputs
Altmetric has tracked 17,347,018 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 22nd percentile – i.e., 22% 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 141,166 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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