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Gas confinement in compartmentalized coordination polymers for highly selective sorption

Overview of attention for article published in Chemical Science, January 2017
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Title
Gas confinement in compartmentalized coordination polymers for highly selective sorption
Published in
Chemical Science, January 2017
DOI 10.1039/c6sc05122g
Pubmed ID
Authors

Mónica Giménez-Marqués, Néstor Calvo Galve, Miguel Palomino, Susana Valencia, Fernando Rey, Germán Sastre, Iñigo J. Vitórica-Yrezábal, Mónica Jiménez-Ruiz, J. Alberto Rodríguez-Velamazán, Miguel A. González, José L. Jordá, Eugenio Coronado, Guillermo Mínguez Espallargas

Abstract

Discrimination between different gases is an essential aspect for industrial and environmental applications involving sensing and separation. Several classes of porous materials have been used in this context, including zeolites and more recently MOFs. However, to reach high selectivities for the separation of gas mixtures is a challenging task that often requires the understanding of the specific interactions established between the porous framework and the gases. Here we propose an approach to obtain an enhanced selectivity based on the use of compartmentalized coordination polymers, named CCP-1 and CCP-2, which are crystalline materials comprising isolated discrete cavities. These compartmentalized materials are excellent candidates for the selective separation of CO2 from methane and nitrogen. A complete understanding of the sorption process is accomplished with the use of complementary experimental techniques including X-ray diffraction, adsorption studies, inelastic- and quasi-elastic neutron scattering, magnetic measurements and molecular dynamics calculations.

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The data shown below were collected from the profiles of 4 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 7 19%
Professor 3 8%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 6 16%
Readers by discipline Count As %
Chemistry 18 49%
Materials Science 4 11%
Chemical Engineering 3 8%
Earth and Planetary Sciences 1 3%
Unspecified 1 3%
Other 2 5%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2020.
All research outputs
#13,846,227
of 22,953,506 outputs
Outputs from Chemical Science
#5,329
of 7,874 outputs
Outputs of similar age
#218,755
of 420,985 outputs
Outputs of similar age from Chemical Science
#389
of 615 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,874 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 31st percentile – i.e., 31% 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 420,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 615 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.