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Towards efficient solid-state photoluminescence based on carbon-nanodots and starch composites.

Overview of attention for article published in Nanoscale, September 2014
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 tweeter

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18 Mendeley
Title
Towards efficient solid-state photoluminescence based on carbon-nanodots and starch composites.
Published in
Nanoscale, September 2014
DOI 10.1039/c4nr04034a
Pubmed ID
Authors

Mingye Sun, Songnan Qu, Zhendong Hao, Wenyu Ji, Pengtao Jing, Hong Zhang, Ligong Zhang, Jialong Zhao, Dezhen Shen

Abstract

A new type of environmentally friendly phosphor based on carbon nanodots (CDs) has been developed through the dispersion of CDs by integrating the CDs with starch particles. The starch particles contain large numbers of hydroxyl groups around the surfaces, which can effectively absorb the CDs, whose surfaces are functionalized by lots of carboxyl and amide groups, through hydrogen bonding. Effective dispersion of CDs on the surfaces of starch particles can suppress the non-radiative decay processes and photoluminescence (PL) quenching induced by aggregation of CDs. The starch matrix neither competes for absorbing excitation light nor absorbs the emissions of CDs, which leads to efficient PL emitting. As a result, the starch/CD phosphors with a quantum yield of ∼50% were obtained. The starch/CD phosphors show great potential in phosphor-based light emitting diodes, temperature sensors, and patterning.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 44%
Student > Master 4 22%
Student > Bachelor 2 11%
Lecturer 1 6%
Student > Postgraduate 1 6%
Other 2 11%
Readers by discipline Count As %
Chemistry 10 56%
Physics and Astronomy 4 22%
Unspecified 3 17%
Computer Science 1 6%

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 24 September 2014.
All research outputs
#2,294,580
of 4,507,652 outputs
Outputs from Nanoscale
#419
of 1,388 outputs
Outputs of similar age
#57,595
of 119,500 outputs
Outputs of similar age from Nanoscale
#19
of 63 outputs
Altmetric has tracked 4,507,652 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,388 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 52% 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 119,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.