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Attention Score in Context
Title |
Formation of large 2D nanosheets via PVP-assisted assembly of anatase TiO 2 nanomosaics
|
---|---|
Published in |
Chemical Communications, August 2011
|
DOI | 10.1039/c1cc13929k |
Pubmed ID | |
Authors |
Jun Song Chen, Jian Liu, Shi Zhang Qiao, Rong Xu, Xiong Wen Lou |
Abstract |
We demonstrate an unusual formation of large 2D nanosheets from nanomosaic building blocks of anatase TiO(2) nanosheets with exposed (001) facets. It is proposed that large PVP molecules adsorbed on the (001) facets serve as the linker that brings building blocks together, at the same time prevents them from stacking along the c-axis. |
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 % |
---|---|---|
Unknown | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 30% |
Professor > Associate Professor | 7 | 19% |
Professor | 3 | 8% |
Student > Postgraduate | 3 | 8% |
Researcher | 3 | 8% |
Other | 6 | 16% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 12 | 32% |
Materials Science | 5 | 14% |
Engineering | 4 | 11% |
Chemical Engineering | 2 | 5% |
Mathematics | 1 | 3% |
Other | 7 | 19% |
Unknown | 6 | 16% |
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 26 August 2011.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Chemical Communications
#19,717
of 26,895 outputs
Outputs of similar age
#86,539
of 121,683 outputs
Outputs of similar age from Chemical Communications
#171
of 227 outputs
Altmetric has tracked 25,371,288 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 26,895 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 20th percentile – i.e., 20% 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 121,683 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.