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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 26% |
| Student > Master | 10 | 12% |
| Student > Bachelor | 6 | 7% |
| Researcher | 6 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 26 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 16 | 20% |
| Physics and Astronomy | 10 | 12% |
| Materials Science | 7 | 9% |
| Engineering | 6 | 7% |
| Computer Science | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 33 | 41% |
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
#15,306,466
of 22,764,165 outputs
Outputs from Nanoscale
#4,689
of 9,206 outputs
Outputs of similar age
#137,386
of 237,867 outputs
Outputs of similar age from Nanoscale
#20
of 42 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,206 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 40th percentile – i.e., 40% 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 237,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.