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Synthesis of silica nanoparticles from Vietnamese rice husk by sol–gel method

Overview of attention for article published in Discover Nano, February 2013
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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1 X user

Citations

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214 Dimensions

Readers on

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483 Mendeley
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Title
Synthesis of silica nanoparticles from Vietnamese rice husk by sol–gel method
Published in
Discover Nano, February 2013
DOI 10.1186/1556-276x-8-58
Pubmed ID
Authors

Van Hai Le, Chi Nhan Ha Thuc, Huy Ha Thuc

Abstract

Silica powder at nanoscale was obtained by heat treatment of Vietnamese rice husk following the sol-gel method. The rice husk ash (RHA) is synthesized using rice husk which was thermally treated at optimal condition at 600°C for 4 h. The silica from RHA was extracted using sodium hydroxide solution to produce a sodium silicate solution and then precipitated by adding H2SO4 at pH = 4 in the mixture of water/butanol with cationic presence. In order to identify the optimal condition for producing the homogenous silica nanoparticles, the effects of surfactant surface coverage, aging temperature, and aging time were investigated. By analysis of X-ray diffraction, scanning electron microscopy, and transmission electron microscopy, the silica product obtained was amorphous and the uniformity of the nanosized sample was observed at an average size of 3 nm, and the BET result showed that the highest specific surface of the sample was about 340 m2/g. The results obtained in the mentioned method prove that the rice husk from agricultural wastes can be used for the production of silica nanoparticles.

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

Geographical breakdown

Country Count As %
Portugal 1 <1%
Malaysia 1 <1%
Indonesia 1 <1%
France 1 <1%
Pakistan 1 <1%
Cameroon 1 <1%
India 1 <1%
Nigeria 1 <1%
Unknown 475 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 78 16%
Student > Ph. D. Student 72 15%
Student > Master 51 11%
Researcher 36 7%
Lecturer 29 6%
Other 70 14%
Unknown 147 30%
Readers by discipline Count As %
Chemistry 115 24%
Engineering 50 10%
Chemical Engineering 39 8%
Materials Science 36 7%
Agricultural and Biological Sciences 20 4%
Other 52 11%
Unknown 171 35%
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 09 December 2013.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Discover Nano
#538
of 1,146 outputs
Outputs of similar age
#193,829
of 291,193 outputs
Outputs of similar age from Discover Nano
#14
of 85 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 41st percentile – i.e., 41% 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 291,193 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.