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Self-assembling biomolecular catalysts for hydrogen production

Overview of attention for article published in Nature Chemistry, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 2,407)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
35 news outlets
blogs
9 blogs
twitter
48 tweeters
facebook
4 Facebook pages
googleplus
11 Google+ users
reddit
3 Redditors

Readers on

mendeley
167 Mendeley
Title
Self-assembling biomolecular catalysts for hydrogen production
Published in
Nature Chemistry, December 2015
DOI 10.1038/nchem.2416
Pubmed ID
Authors

Paul C. Jordan, Dustin P. Patterson, Kendall N. Saboda, Ethan J. Edwards, Heini M. Miettinen, Gautam Basu, Megan C. Thielges, Trevor Douglas

Abstract

The chemistry of highly evolved protein-based compartments has inspired the design of new catalytically active materials that self-assemble from biological components. A frontier of this biodesign is the potential to contribute new catalytic systems for the production of sustainable fuels, such as hydrogen. Here, we show the encapsulation and protection of an active hydrogen-producing and oxygen-tolerant [NiFe]-hydrogenase, sequestered within the capsid of the bacteriophage P22 through directed self-assembly. We co-opted Escherichia coli for biomolecular synthesis and assembly of this nanomaterial by expressing and maturing the EcHyd-1 hydrogenase prior to expression of the P22 coat protein, which subsequently self assembles. By probing the infrared spectroscopic signatures and catalytic activity of the engineered material, we demonstrate that the capsid provides stability and protection to the hydrogenase cargo. These results illustrate how combining biological function with directed supramolecular self-assembly can be used to create new materials for sustainable catalysis.

Twitter Demographics

The data shown below were collected from the profiles of 48 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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 1 <1%
Uruguay 1 <1%
Chile 1 <1%
Iran, Islamic Republic of 1 <1%
Denmark 1 <1%
Netherlands 1 <1%
Unknown 157 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 28%
Researcher 32 19%
Student > Master 21 13%
Student > Bachelor 20 12%
Professor > Associate Professor 10 6%
Other 24 14%
Unknown 14 8%
Readers by discipline Count As %
Chemistry 51 31%
Agricultural and Biological Sciences 35 21%
Biochemistry, Genetics and Molecular Biology 30 18%
Engineering 12 7%
Materials Science 5 3%
Other 11 7%
Unknown 23 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 348. 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 30 March 2020.
All research outputs
#42,084
of 15,576,437 outputs
Outputs from Nature Chemistry
#13
of 2,407 outputs
Outputs of similar age
#1,177
of 368,640 outputs
Outputs of similar age from Nature Chemistry
#1
of 57 outputs
Altmetric has tracked 15,576,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one has done particularly well, scoring higher than 99% 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 368,640 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 99% of its contemporaries.
We're also able to compare this research output to 57 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 98% of its contemporaries.