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Switching of macroscopic molecular recognition selectivity using a mixed solvent system

Overview of attention for article published in Nature Communications, May 2012
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Title
Switching of macroscopic molecular recognition selectivity using a mixed solvent system
Published in
Nature Communications, May 2012
DOI 10.1038/ncomms1841
Pubmed ID
Authors

Yongtai Zheng, Akihito Hashidzume, Yoshinori Takashima, Hiroyasu Yamaguchi, Akira Harada

Abstract

The formation of macroscopic assemblies based on molecular recognition is promising in a wide variety of fields of materials science. Switching of the selectivity of macroscopic assemblies is of increasing importance to produce highly functional materials. Here we show macroscopic assembly based on molecular recognition using polyacrylamide gel modified with pyrenyl (Py) moiety (Py-gel) and gels possessing CD moieties (αCD-gel, βCD-gel and γCD-gel) in a mixed solvent of water and dimethyl sulfoxide. Changing the composition of the mixed solvent can switch the selectivity of Py-gel, because the fractions of the monomer and dimer of the Py moieties on the gel surface depend on the mixed solvent composition. The monomer and dimer of the Py moieties prefer βCD and γCD moieties, respectively.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
United Kingdom 1 1%
Romania 1 1%
Spain 1 1%
Japan 1 1%
Unknown 73 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 28%
Student > Master 16 21%
Researcher 9 12%
Student > Doctoral Student 6 8%
Student > Bachelor 5 6%
Other 13 17%
Unknown 7 9%
Readers by discipline Count As %
Chemistry 52 67%
Materials Science 6 8%
Chemical Engineering 3 4%
Agricultural and Biological Sciences 2 3%
Physics and Astronomy 2 3%
Other 5 6%
Unknown 8 10%
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 16 May 2012.
All research outputs
#18,306,425
of 22,665,794 outputs
Outputs from Nature Communications
#43,723
of 46,599 outputs
Outputs of similar age
#126,142
of 163,696 outputs
Outputs of similar age from Nature Communications
#132
of 146 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 46,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one is in the 2nd percentile – i.e., 2% 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 163,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.