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Royal Society of Chemistry

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Tetraarylborate polymer networks as single-ion conducting solid electrolytes

Overview of attention for article published in Chemical Science, January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
106 Mendeley
Title
Tetraarylborate polymer networks as single-ion conducting solid electrolytes
Published in
Chemical Science, January 2015
DOI 10.1039/c5sc02052b
Pubmed ID
Authors

Jeffrey F. Van Humbeck, Michael L. Aubrey, Alaaeddin Alsbaiee, Rob Ameloot, Geoffrey W. Coates, William R. Dichtel, Jeffrey R. Long

Abstract

A new family of solid polymer electrolytes based upon anionic tetrakis(phenyl)borate tetrahedral nodes and linear bis-alkyne linkers is reported. Sonogashira polymerizations using tetrakis(4-iodophenyl)borate, tetrakis(4-iodo-2,3,5,6-tetrafluorophenyl)borate and tetrakis(4-bromo-2,3,5,6-tetrafluorophenyl)borate delivered highly cross-linked polymer networks with both 1,4-diethynylbeznene and a tri(ethylene glycol) substituted derivative. Promising initial conductivity metrics have been observed, including high room temperature conductivities (up to 2.7 × 10(-4) S cm(-1)), moderate activation energies (0.25-0.28 eV), and high lithium ion transport numbers (up to tLi(+) = 0.93). Initial investigations into the effects of important materials parameters such as bulk morphology, porosity, fluorination, and other chemical modification, provide starting design parameters for further development of this new class of solid electrolytes.

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 29%
Researcher 19 18%
Student > Master 8 8%
Student > Bachelor 6 6%
Professor 5 5%
Other 14 13%
Unknown 23 22%
Readers by discipline Count As %
Chemistry 58 55%
Chemical Engineering 10 9%
Materials Science 7 7%
Energy 3 3%
Engineering 2 2%
Other 3 3%
Unknown 23 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 October 2020.
All research outputs
#4,645,423
of 22,595,260 outputs
Outputs from Chemical Science
#2,762
of 7,722 outputs
Outputs of similar age
#68,887
of 348,598 outputs
Outputs of similar age from Chemical Science
#50
of 134 outputs
Altmetric has tracked 22,595,260 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,722 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 63% 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 348,598 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 79% of its contemporaries.
We're also able to compare this research output to 134 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 60% of its contemporaries.