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CyBase: a database of cyclic protein sequences and structures, with applications in protein discovery and engineering

Overview of attention for article published in Nucleic Acids Research, December 2007
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
246 Dimensions

Readers on

mendeley
127 Mendeley
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Title
CyBase: a database of cyclic protein sequences and structures, with applications in protein discovery and engineering
Published in
Nucleic Acids Research, December 2007
DOI 10.1093/nar/gkm953
Pubmed ID
Authors

Conan K. L. Wang, Quentin Kaas, Laurent Chiche, David J. Craik

Abstract

CyBase was originally developed as a database for backbone-cyclized proteins, providing search and display capabilities for sequence, structure and function data. Cyclic proteins are interesting because, compared to conventional proteins, they have increased stability and enhanced binding affinity and therefore can potentially be developed as protein drugs. The new CyBase release features a redesigned interface and internal architecture to improve user-interactivity, collates double the amount of data compared to the initial release, and hosts a novel suite of tools that are useful for the visualization, characterization and engineering of cyclic proteins. These tools comprise sequence/structure 2D representations, a summary of grafting and mutation studies of synthetic analogues, a study of N- to C-terminal distances in known protein structures and a structural modelling tool to predict the best linker length to cyclize a protein. These updates are useful because they have the potential to help accelerate the discovery of naturally occurring cyclic proteins and the engineering of cyclic protein drugs. The new release of CyBase is available at http://research1t.imb.uq.edu.au/cybase.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Netherlands 1 <1%
Indonesia 1 <1%
Ireland 1 <1%
Brazil 1 <1%
United States 1 <1%
Unknown 121 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Researcher 17 13%
Student > Master 17 13%
Student > Doctoral Student 12 9%
Professor > Associate Professor 7 6%
Other 20 16%
Unknown 21 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 22%
Agricultural and Biological Sciences 28 22%
Chemistry 24 19%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Computer Science 4 3%
Other 10 8%
Unknown 28 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 November 2007.
All research outputs
#3,259,236
of 22,708,120 outputs
Outputs from Nucleic Acids Research
#4,493
of 26,293 outputs
Outputs of similar age
#13,723
of 155,684 outputs
Outputs of similar age from Nucleic Acids Research
#21
of 196 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 78% 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 155,684 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 89% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.