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Author Correction: Ultra-thin enzymatic liquid membrane for CO2 separation and capture

Overview of attention for article published in Nature Communications, June 2018
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Title
Author Correction: Ultra-thin enzymatic liquid membrane for CO2 separation and capture
Published in
Nature Communications, June 2018
DOI 10.1038/s41467-018-04642-6
Pubmed ID
Authors

Yaqin Fu, Ying-Bing Jiang, Darren Dunphy, Haifeng Xiong, Eric Coker, Stan Chou, Hongxia Zhang, Juan M. Vanegas, Jonas G. Croissant, Joseph L. Cecchi, Susan B. Rempe, C. Jeffrey Brinker

Abstract

The original version of this Article contained an error in the spelling of the author Stanley S. Chou, which was incorrectly given as Stan Chou. This has now been corrected in both the PDF and HTML versions of the Article.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Unspecified 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Unspecified 2 25%
Engineering 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 June 2018.
All research outputs
#18,633,675
of 23,083,773 outputs
Outputs from Nature Communications
#44,694
of 47,577 outputs
Outputs of similar age
#255,191
of 330,312 outputs
Outputs of similar age from Nature Communications
#1,118
of 1,186 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 47,577 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 330,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,186 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.