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Self-assembled bionanostructures: proteins following the lead of DNA nanostructures

Overview of attention for article published in Journal of Nanobiotechnology, February 2014
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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)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users
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2 patents
wikipedia
1 Wikipedia page

Citations

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47 Dimensions

Readers on

mendeley
147 Mendeley
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1 CiteULike
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Title
Self-assembled bionanostructures: proteins following the lead of DNA nanostructures
Published in
Journal of Nanobiotechnology, February 2014
DOI 10.1186/1477-3155-12-4
Pubmed ID
Authors

Helena Gradišar, Roman Jerala

Abstract

Natural polymers are able to self-assemble into versatile nanostructures based on the information encoded into their primary structure. The structural richness of biopolymer-based nanostructures depends on the information content of building blocks and the available biological machinery to assemble and decode polymers with a defined sequence. Natural polypeptides comprise 20 amino acids with very different properties in comparison to only 4 structurally similar nucleotides, building elements of nucleic acids. Nevertheless the ease of synthesizing polynucleotides with selected sequence and the ability to encode the nanostructural assembly based on the two specific nucleotide pairs underlay the development of techniques to self-assemble almost any selected three-dimensional nanostructure from polynucleotides. Despite more complex design rules, peptides were successfully used to assemble symmetric nanostructures, such as fibrils and spheres. While earlier designed protein-based nanostructures used linked natural oligomerizing domains, recent design of new oligomerizing interaction surfaces and introduction of the platform for topologically designed protein fold may enable polypeptide-based design to follow the track of DNA nanostructures. The advantages of protein-based nanostructures, such as the functional versatility and cost effective and sustainable production methods provide strong incentive for further development in this direction.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Japan 2 1%
Italy 1 <1%
Slovenia 1 <1%
India 1 <1%
Denmark 1 <1%
Mexico 1 <1%
Unknown 137 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 33%
Researcher 19 13%
Student > Bachelor 18 12%
Student > Master 14 10%
Student > Doctoral Student 7 5%
Other 22 15%
Unknown 19 13%
Readers by discipline Count As %
Chemistry 35 24%
Agricultural and Biological Sciences 35 24%
Biochemistry, Genetics and Molecular Biology 30 20%
Physics and Astronomy 6 4%
Engineering 6 4%
Other 13 9%
Unknown 22 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 July 2019.
All research outputs
#3,025,712
of 25,371,288 outputs
Outputs from Journal of Nanobiotechnology
#97
of 1,915 outputs
Outputs of similar age
#34,397
of 322,905 outputs
Outputs of similar age from Journal of Nanobiotechnology
#2
of 7 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,915 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 322,905 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.