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Band edge engineering of TiO 2 @DNA nanohybrids and implications for capacitive energy storage devices

Overview of attention for article published in Nanoscale, January 2015
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Title
Band edge engineering of TiO 2 @DNA nanohybrids and implications for capacitive energy storage devices
Published in
Nanoscale, January 2015
DOI 10.1039/c5nr02533h
Pubmed ID
Authors

Roghayeh Imani, Meysam Pazoki, Ashutosh Tiwari, G. Boschloo, Anthony P. F. Turner, V. Kralj-Iglič, Aleš Iglič

Abstract

Novel mesoporous TiO2@DNA nanohybrid electrodes, combining covalently encoded DNA with mesoporous TiO2 microbeads using dopamine as a linker, were prepared and characterised for application in supercapacitors. Detailed information about donor density, charge transfer resistance and chemical capacitance, which have an important role in the performance of an electrochemical device, were studied by electrochemical methods. The results indicated the improvement of electrochemical performance of the TiO2 nanohybrid electrode by DNA surface functionalisation. A supercapacitor was constructed from TiO2@DNA nanohybrids with PBS as the electrolyte. From the supercapacitor experiment, it was found that the addition of DNA played an important role in improving the specific capacitance (Cs) of the TiO2 supercapacitor. The highest Cs value of 8 F g(-1) was observed for TiO2@DNA nanohybrids. The nanohybrid electrodes were shown to be stable over long-term cycling, retaining 95% of their initial specific capacitance after 1500 cycles.

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

Geographical breakdown

Country Count As %
South Africa 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 5 18%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 5 18%
Unknown 5 18%
Readers by discipline Count As %
Chemistry 9 32%
Engineering 4 14%
Materials Science 3 11%
Physics and Astronomy 2 7%
Energy 1 4%
Other 3 11%
Unknown 6 21%
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 12 May 2015.
All research outputs
#18,409,030
of 22,803,211 outputs
Outputs from Nanoscale
#5,880
of 9,212 outputs
Outputs of similar age
#255,815
of 353,075 outputs
Outputs of similar age from Nanoscale
#513
of 703 outputs
Altmetric has tracked 22,803,211 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 9,212 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 23rd percentile – i.e., 23% 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 353,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 703 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.