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Glycopolymer Code Based on Well-Defined Glycopolymers or Glyconanomaterials and Their Biomolecular Recognition

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, October 2014
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Glycopolymer Code Based on Well-Defined Glycopolymers or Glyconanomaterials and Their Biomolecular Recognition
Published in
Frontiers in Bioengineering and Biotechnology, October 2014
DOI 10.3389/fbioe.2014.00039
Pubmed ID
Authors

Gokhan Yilmaz, C. Remzi Becer

Abstract

Advances in the glycopolymer technology have allowed the preparation of more complex and well-defined glycopolymers/particles with several architectures from linear to globular structures (such as micelles, dendrimers, and nanogels). In the last decade, functionalized self-assembled/decided nano-objects and scaffolds containing glycopolymers were designed to develop many biological and biomedical applications in diseases treatments such as pathogen detection, inhibitors of toxins, and lectin-based biosensors. These studies will facilitate the understanding and investigation of the sugar code on the carbohydrate-lectin interactions, which are significantly influenced by the glycopolymer architecture, valency, size, and density of binding elements. In this context, these advanced and selected glycopolymers/particles showing specific interactions with various lectins are highlighted.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 9 17%
Student > Doctoral Student 8 15%
Student > Master 4 8%
Student > Postgraduate 3 6%
Other 10 19%
Unknown 7 13%
Readers by discipline Count As %
Chemistry 25 47%
Materials Science 5 9%
Chemical Engineering 3 6%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 3 6%
Unknown 11 21%
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 14 October 2014.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,123
of 8,503 outputs
Outputs of similar age
#161,086
of 268,211 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#12
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,503 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 59% 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 268,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.