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New statistical potential for quality assessment of protein models and a survey of energy functions

Overview of attention for article published in BMC Bioinformatics, March 2010
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Mentioned by

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Citations

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Readers on

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73 Mendeley
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Title
New statistical potential for quality assessment of protein models and a survey of energy functions
Published in
BMC Bioinformatics, March 2010
DOI 10.1186/1471-2105-11-128
Pubmed ID
Authors

Dmitry Rykunov, Andras Fiser

Abstract

Scoring functions, such as molecular mechanic forcefields and statistical potentials are fundamentally important tools in protein structure modeling and quality assessment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Italy 2 3%
Switzerland 1 1%
Japan 1 1%
United Kingdom 1 1%
Unknown 65 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 36%
Researcher 18 25%
Student > Bachelor 8 11%
Student > Master 7 10%
Professor > Associate Professor 4 5%
Other 7 10%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 47%
Computer Science 10 14%
Biochemistry, Genetics and Molecular Biology 9 12%
Chemistry 5 7%
Physics and Astronomy 5 7%
Other 6 8%
Unknown 4 5%
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 24 August 2010.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from BMC Bioinformatics
#5,353
of 7,241 outputs
Outputs of similar age
#76,565
of 93,739 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 56 outputs
Altmetric has tracked 22,660,862 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 7,241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 93,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.