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A Unifying Model for the Operation of Light-Emitting Electrochemical Cells

Overview of attention for article published in Journal of the American Chemical Society, September 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
patent
3 patents

Citations

dimensions_citation
233 Dimensions

Readers on

mendeley
147 Mendeley
citeulike
1 CiteULike
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Title
A Unifying Model for the Operation of Light-Emitting Electrochemical Cells
Published in
Journal of the American Chemical Society, September 2010
DOI 10.1021/ja1045555
Pubmed ID
Authors

Stephan van Reenen, Piotr Matyba, Andrzej Dzwilewski, René A. J. Janssen, Ludvig Edman, Martijn Kemerink

Abstract

The application of doping in semiconductors plays a major role in the high performances achieved to date in inorganic devices. In contrast, doping has yet to make such an impact in organic electronics. One organic device that does make extensive use of doping is the light-emitting electrochemical cell (LEC), where the presence of mobile ions enables dynamic doping, which enhances carrier injection and facilitates relatively large current densities. The mechanism and effects of doping in LECs are, however, still far from being fully understood, as evidenced by the existence of two competing models that seem physically distinct: the electrochemical doping model and the electrodynamic model. Both models are supported by experimental data and numerical modeling. Here, we show that these models are essentially limits of one master model, separated by different rates of carrier injection. For ohmic nonlimited injection, a dynamic p-n junction is formed, which is absent in injection-limited devices. This unification is demonstrated by both numerical calculations and measured surface potentials as well as light emission and doping profiles in operational devices. An analytical analysis yields an upper limit for the ratio of drift and diffusion currents, having major consequences on the maximum current density through this type of device.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Japan 2 1%
Netherlands 1 <1%
Brazil 1 <1%
France 1 <1%
Unknown 139 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 34%
Researcher 31 21%
Student > Master 15 10%
Student > Doctoral Student 7 5%
Student > Bachelor 7 5%
Other 18 12%
Unknown 19 13%
Readers by discipline Count As %
Chemistry 44 30%
Physics and Astronomy 30 20%
Materials Science 26 18%
Engineering 20 14%
Unspecified 2 1%
Other 4 3%
Unknown 21 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 09 September 2017.
All research outputs
#1,276,051
of 22,756,196 outputs
Outputs from Journal of the American Chemical Society
#1,858
of 61,911 outputs
Outputs of similar age
#4,235
of 95,193 outputs
Outputs of similar age from Journal of the American Chemical Society
#3
of 376 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 61,911 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 96% 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 95,193 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 376 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.