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Near‐Infrared Polymer Light‐Emitting Diodes Based on Low‐Energy Gap Oligomers Copolymerized into a High‐Gap Polymer Host

Overview of attention for article published in Macromolecular Rapid Communications, April 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 X user
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1 patent

Readers on

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23 Mendeley
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Article details
Title
Near‐Infrared Polymer Light‐Emitting Diodes Based on Low‐Energy Gap Oligomers Copolymerized into a High‐Gap Polymer Host
Published in
Macromolecular Rapid Communications, April 2013
DOI 10.1002/marc.201300240
Pubmed ID
Authors
Abstract

Near-infrared (NIR) polymer light-emitting diodes (PLEDs) based on a fluorene-dioctyloxyphenylene wide-gap host material copolymerized with a low-gap emitter are presented. Various loadings (1, 2.5, 10, 20 mol%) of the low-gap emitter are studied, with higher loadings leading to decreased efficiencies likely due to aggregation effects. While the 10 mol% loading resulted in almost pure NIR emission (>99.6%), the 1 mol% loading yielded optimum device performance, which is among the best reported to date for a unblended single-layer pure polymer emitter, with an external quantum efficiencies of 0.04% emitting at 909 nm. The high spectral purity of the PLEDs combined with their performance support the methodology of copolymerization as an effective strategy for developing NIR PLEDs.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 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 %
United Kingdom 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Researcher 4 17%
Student > Master 3 13%
Student > Doctoral Student 2 9%
Professor 2 9%
Other 2 9%
Unknown 3 13%
Readers by discipline
Readers by discipline Count As %
Chemistry 9 39%
Physics and Astronomy 5 22%
Engineering 4 17%
Materials Science 3 13%
Unknown 2 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2024.
All research outputs
#10,322,023
of 30,697,671 outputs
Outputs from Macromolecular Rapid Communications
#996
of 3,473 outputs
Outputs of similar age
#80,051
of 229,132 outputs
Outputs of similar age from Macromolecular Rapid Communications
#14
of 74 outputs
Altmetric has tracked 30,697,671 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 3,473 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 68% 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 229,132 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 74 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 72% of its contemporaries.