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Chemically accurate protein structures: Validation of protein NMR structures by comparison of measured and predicted pK a values

Overview of attention for article published in Journal of Biomolecular NMR, June 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 437)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
f1000
1 research highlight platform

Citations

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10 Dimensions

Readers on

mendeley
23 Mendeley
citeulike
2 CiteULike
Title
Chemically accurate protein structures: Validation of protein NMR structures by comparison of measured and predicted pK a values
Published in
Journal of Biomolecular NMR, June 2006
DOI 10.1007/s10858-006-9003-3
Pubmed ID
Authors

N. Powers, Jan H. Jensen

Abstract

A new method is presented for evaluating the quality of protein structures obtained by NMR. This method exploits the dependence between measurable chemical properties of a protein, namely pKa values of acidic residues, and protein structure. The accurate and fast empirical computational method employed by the PROPKA program ( http://www.propka.chem.uiowa.edu) allows the user to test the ability of a given structure to reproduce known pKa values, which in turn can be used as a criterion for the selection of more accurate structures. We demonstrate the feasibility of this novel idea for a series of proteins for which both NMR and X-ray structures, as well as pKa values of all ionizable residues, have been determined. For the 17 NMR ensembles used in this study, this criterion is shown effective in the elimination of a large number of NMR structure ensemble members.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 4%
France 1 4%
Mexico 1 4%
Brazil 1 4%
Denmark 1 4%
United States 1 4%
Unknown 17 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 39%
Professor > Associate Professor 6 26%
Professor 3 13%
Other 3 13%
Lecturer 1 4%
Other 1 4%
Readers by discipline Count As %
Chemistry 11 48%
Agricultural and Biological Sciences 9 39%
Biochemistry, Genetics and Molecular Biology 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 29 July 2014.
All research outputs
#1,833,310
of 12,319,267 outputs
Outputs from Journal of Biomolecular NMR
#14
of 437 outputs
Outputs of similar age
#22,397
of 142,512 outputs
Outputs of similar age from Journal of Biomolecular NMR
#2
of 10 outputs
Altmetric has tracked 12,319,267 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 437 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 96% 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 142,512 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 84% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.