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A metal-free electrocatalyst for carbon dioxide reduction to multi-carbon hydrocarbons and oxygenates

Overview of attention for article published in Nature Communications, December 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
16 news outlets
blogs
4 blogs
twitter
6 X users

Citations

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518 Dimensions

Readers on

mendeley
482 Mendeley
Title
A metal-free electrocatalyst for carbon dioxide reduction to multi-carbon hydrocarbons and oxygenates
Published in
Nature Communications, December 2016
DOI 10.1038/ncomms13869
Pubmed ID
Authors

Jingjie Wu, Sichao Ma, Jing Sun, Jake I. Gold, ChandraSekhar Tiwary, Byoungsu Kim, Lingyang Zhu, Nitin Chopra, Ihab N. Odeh, Robert Vajtai, Aaron Z. Yu, Raymond Luo, Jun Lou, Guqiao Ding, Paul J. A. Kenis, Pulickel M. Ajayan

Abstract

Electroreduction of carbon dioxide into higher-energy liquid fuels and chemicals is a promising but challenging renewable energy conversion technology. Among the electrocatalysts screened so far for carbon dioxide reduction, which includes metals, alloys, organometallics, layered materials and carbon nanostructures, only copper exhibits selectivity towards formation of hydrocarbons and multi-carbon oxygenates at fairly high efficiencies, whereas most others favour production of carbon monoxide or formate. Here we report that nanometre-size N-doped graphene quantum dots (NGQDs) catalyse the electrochemical reduction of carbon dioxide into multi-carbon hydrocarbons and oxygenates at high Faradaic efficiencies, high current densities and low overpotentials. The NGQDs show a high total Faradaic efficiency of carbon dioxide reduction of up to 90%, with selectivity for ethylene and ethanol conversions reaching 45%. The C2 and C3 product distribution and production rate for NGQD-catalysed carbon dioxide reduction is comparable to those obtained with copper nanoparticle-based electrocatalysts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 482 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Estonia 1 <1%
Germany 1 <1%
Unknown 479 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 125 26%
Researcher 62 13%
Student > Master 55 11%
Student > Bachelor 48 10%
Student > Doctoral Student 30 6%
Other 49 10%
Unknown 113 23%
Readers by discipline Count As %
Chemistry 137 28%
Chemical Engineering 59 12%
Materials Science 52 11%
Engineering 40 8%
Physics and Astronomy 12 2%
Other 35 7%
Unknown 147 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 146. 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 05 January 2018.
All research outputs
#249,927
of 23,575,882 outputs
Outputs from Nature Communications
#3,671
of 49,146 outputs
Outputs of similar age
#5,657
of 423,337 outputs
Outputs of similar age from Nature Communications
#97
of 866 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 49,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. This one has done particularly well, scoring higher than 92% 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 423,337 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 98% of its contemporaries.
We're also able to compare this research output to 866 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.