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Dynamic-template-directed multiscale assembly for large-area coating of highly-aligned conjugated polymer thin films

Overview of attention for article published in Nature Communications, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 tweeters

Readers on

mendeley
7 Mendeley
Title
Dynamic-template-directed multiscale assembly for large-area coating of highly-aligned conjugated polymer thin films
Published in
Nature Communications, July 2017
DOI 10.1038/ncomms16070
Pubmed ID
Authors

Erfan Mohammadi, Chuankai Zhao, Yifei Meng, Ge Qu, Fengjiao Zhang, Xikang Zhao, Jianguo Mei, Jian-Min Zuo, Diwakar Shukla, Ying Diao

Abstract

Solution processable semiconducting polymers have been under intense investigations due to their diverse applications from printed electronics to biomedical devices. However, controlling the macromolecular assembly across length scales during solution coating remains a key challenge, largely due to the disparity in timescales of polymer assembly and high-throughput printing/coating. Herein we propose the concept of dynamic templating to expedite polymer nucleation and the ensuing assembly process, inspired by biomineralization templates capable of surface reconfiguration. Molecular dynamic simulations reveal that surface reconfigurability is key to promoting template-polymer interactions, thereby lowering polymer nucleation barrier. Employing ionic-liquid-based dynamic template during meniscus-guided coating results in highly aligned, highly crystalline donor-acceptor polymer thin films over large area (>1 cm(2)) and promoted charge transport along both the polymer backbone and the π-π stacking direction in field-effect transistors. We further demonstrate that the charge transport anisotropy can be reversed by tuning the degree of polymer backbone alignment.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 71%
Student > Master 1 14%
Student > Ph. D. Student 1 14%
Readers by discipline Count As %
Materials Science 5 71%
Chemical Engineering 1 14%
Chemistry 1 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 14 July 2017.
All research outputs
#393,653
of 8,208,212 outputs
Outputs from Nature Communications
#4,780
of 12,785 outputs
Outputs of similar age
#15,217
of 180,364 outputs
Outputs of similar age from Nature Communications
#312
of 744 outputs
Altmetric has tracked 8,208,212 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one has gotten more attention than average, scoring higher than 62% 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 180,364 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 91% of its contemporaries.
We're also able to compare this research output to 744 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 58% of its contemporaries.