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Metal ion recognition and molecular templating in self-assembled monolayers of cyclic and acyclic polyethers

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2002
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Article details
Title
Metal ion recognition and molecular templating in self-assembled monolayers of cyclic and acyclic polyethers
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2002
DOI 10.1073/pnas.072658799
Pubmed ID
Authors
Abstract

Our recent work with cyclic and acyclic polyether self-assembled monolayers (SAMs) on gold is presented. A series of dithia-crown-tetrathiafulvalene derivatives with one or two disulfide groups has been prepared, and their SAMs on gold have been characterized by electrochemistry and by reflection-absorption infrared spectroscopy. These SAMs are extremely stable on repeated electrochemical potential scans and can selectively recognize alkali metal ions. Acyclic polyether derivatives can also self-assemble on gold to yield selective metal ion recognition domains. Impedance spectroscopy data for these SAMs fit the Langmuir isotherm and allow the determination of ion association constants. Some of the SAMs prepared with new acyclic polyether derivatives are able to detect potassium cations selectively when templated in their presence. These structures are believed to be a consequence of ion "imprinting" during the process of SAM formation.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Professor 6 18%
Student > Master 4 12%
Researcher 4 12%
Professor > Associate Professor 3 9%
Other 3 9%
Unknown 6 18%
Readers by discipline
Readers by discipline Count As %
Chemistry 19 56%
Materials Science 3 9%
Physics and Astronomy 2 6%
Engineering 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Other 1 3%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 April 2008.
All research outputs
#12,356,702
of 34,400,738 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#83,733
of 118,992 outputs
Outputs of similar age
#70,193
of 163,741 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#434
of 641 outputs
Altmetric has tracked 34,400,738 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118,992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one is in the 13th percentile – i.e., 13% 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 163,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 641 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.