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Iron supported on bioinspired green silica for water remediation

Overview of attention for article published in Chemical Science, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 tweeters

Citations

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21 Dimensions

Readers on

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22 Mendeley

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Summary Twitter Dimensions citations
Title
Iron supported on bioinspired green silica for water remediation
Published in
Chemical Science, January 2017
DOI 10.1039/c6sc02937j
Pubmed ID
28451203
Authors

Khalid M. Alotaibi, Lewis Shiels, Laure Lacaze, Tanya A. Peshkur, Peter Anderson, Libor Machala, Kevin Critchley, Siddharth V. Patwardhan, Lorraine T. Gibson

Abstract

Iron has been used previously in water decontamination, either unsupported or supported on clays, polymers, carbons or ceramics such as silica. However, the reported synthesis procedures are tedious, lengthy (involving various steps), and either utilise or produce toxic chemicals. Herein, the use of a simple, rapid, bio-inspired green synthesis method is reported to prepare, for the first time, a family of iron supported on green nanosilica materials (Fe@GN) to create new technological solutions for water remediation. In particular, Fe@GN were employed for the removal of arsenate ions as a model for potentially toxic elements in aqueous solution. Several characterization techniques were used to study the physical, structural and chemical properties of the new Fe@GN. When evaluated as an adsorption platform for the removal of arsenate ions, Fe@GN exhibited high adsorption capacity (69 mg of As per g of Fe@GN) with superior kinetics (reaching ∼35 mg As per g sorbent per hr) - threefold higher than the highest removal rates reported to date. Moreover, a method was developed to regenerate the Fe@GN allowing for a full recovery and reuse of the adsorbent in subsequent extractions; strongly highlighting the potential technological benefits of these new green materials.

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Twitter Demographics

The data shown below were collected from the profiles of 6 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 4 18%
Student > Doctoral Student 3 14%
Researcher 2 9%
Lecturer > Senior Lecturer 1 5%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Chemistry 8 36%
Engineering 6 27%
Physics and Astronomy 2 9%
Chemical Engineering 1 5%
Materials Science 1 5%
Other 1 5%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 December 2016.
All research outputs
#10,116,383
of 18,661,784 outputs
Outputs from Chemical Science
#3,716
of 6,223 outputs
Outputs of similar age
#114,240
of 274,046 outputs
Outputs of similar age from Chemical Science
#68
of 129 outputs
Altmetric has tracked 18,661,784 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,223 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 39th percentile – i.e., 39% 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 274,046 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 57% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.

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