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Compositional control of pore geometry in multivariate metal–organic frameworks: an experimental and computational study

Overview of attention for article published in Dalton Transactions: An International Journal of Inorganic Chemistry, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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4 tweeters

Citations

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12 Dimensions

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54 Mendeley
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Title
Compositional control of pore geometry in multivariate metal–organic frameworks: an experimental and computational study
Published in
Dalton Transactions: An International Journal of Inorganic Chemistry, December 2015
DOI 10.1039/c5dt04045k
Pubmed ID
Authors

Laura K. Cadman, Jessica K. Bristow, Naomi E. Stubbs, Davide Tiana, Mary F. Mahon, Aron Walsh, Andrew D. Burrows

Abstract

A new approach is reported for tailoring the pore geometry in five series of multivariate metal-organic frameworks (MOFs) based on the structure [Zn2(bdc)2(dabco)] (bdc = 1,4-benzenedicarboxylate, dabco = 1,8-diazabicyclooctane), DMOF-1. A doping procedure has been adopted to form series of MOFs containing varying linker ratios. The series under investigation are [Zn2(bdc)2-x(bdc-Br)x(dabco)]·nDMF (bdc-Br = 2-bromo-1,4-benzenedicarboxylate), [Zn2(bdc)2-x(bdc-I)x(dabco)]·nDMF (bdc-I = 2-iodo-1,4-benzenedicarboxylate), [Zn2(bdc)2-x(bdc-NO2)x(dabco)]·nDMF (bdc-NO2 = 2-nitro-1,4-benzenedicarboxylate), [Zn2(bdc)2-x(bdc-NH2)x(dabco)]·nDMF (bdc-NH2 = 2-amino-1,4-benzenedicarboxylate) and [Zn2(bdc-Br)2-x(bdc-I)x(dabco)]·nDMF . Series demonstrate a functionality-dependent pore geometry transition from the square, open pores of DMOF-1 to rhomboidal, narrow pores with increasing proportion of the 2-substituted bdc linker, with the rhomboidal-pore MOFs also showing a temperature-dependent phase change. In contrast, all members of series and have uniform pore geometries. In series this is a square pore topology, whilst series exhibits the rhomboidal pore form. Computational analyses reveal that the pore size and shape in systems and is altered through non-covalent interactions between the organic linkers within the framework, and that this can be controlled by the ligand functionality and ratio. This approach affords the potential to tailor pore geometry and shape within MOFs through judicious choice of ligand ratios.

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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Master 12 22%
Student > Ph. D. Student 8 15%
Student > Bachelor 4 7%
Student > Doctoral Student 2 4%
Other 5 9%
Unknown 11 20%
Readers by discipline Count As %
Chemistry 30 56%
Chemical Engineering 6 11%
Materials Science 5 9%
Biochemistry, Genetics and Molecular Biology 1 2%
Nursing and Health Professions 1 2%
Other 0 0%
Unknown 11 20%

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 01 March 2016.
All research outputs
#3,126,947
of 7,325,869 outputs
Outputs from Dalton Transactions: An International Journal of Inorganic Chemistry
#619
of 10,517 outputs
Outputs of similar age
#112,968
of 293,764 outputs
Outputs of similar age from Dalton Transactions: An International Journal of Inorganic Chemistry
#35
of 574 outputs
Altmetric has tracked 7,325,869 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 10,517 research outputs from this source. They receive a mean Attention Score of 0.7. This one has done particularly well, scoring higher than 93% 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 293,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 574 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 93% of its contemporaries.