| Title |
Highly Anisotropic, Highly Transparent Wood Composites
|
|---|---|
| Published in |
Advanced Materials, May 2016
|
| DOI | 10.1002/adma.201600427 |
| Pubmed ID | |
| Authors |
Mingwei Zhu, Jianwei Song, Tian Li, Amy Gong, Yanbin Wang, Jiaqi Dai, Yonggang Yao, Wei Luo, Doug Henderson, Liangbing Hu |
| Abstract |
For the first time, two types of highly anisotropic, highly transparent wood composites are demonstrated by taking advantage of the macro-structures in original wood. These wood composites are highly transparent with a total transmittance up to 90% but exhibit dramatically different optical and mechanical properties. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 23% |
| Japan | 2 | 15% |
| Italy | 1 | 8% |
| Australia | 1 | 8% |
| Russia | 1 | 8% |
| Thailand | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 92% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 553 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Singapore | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 546 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 102 | 18% |
| Student > Master | 71 | 13% |
| Researcher | 67 | 12% |
| Student > Doctoral Student | 38 | 7% |
| Student > Bachelor | 38 | 7% |
| Other | 64 | 12% |
| Unknown | 173 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 112 | 20% |
| Chemistry | 61 | 11% |
| Engineering | 61 | 11% |
| Agricultural and Biological Sciences | 24 | 4% |
| Chemical Engineering | 19 | 3% |
| Other | 64 | 12% |
| Unknown | 212 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 309. 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 21 November 2023.
All research outputs
#110,161
of 25,389,116 outputs
Outputs from Advanced Materials
#35
of 17,730 outputs
Outputs of similar age
#2,102
of 309,826 outputs
Outputs of similar age from Advanced Materials
#1
of 203 outputs
Altmetric has tracked 25,389,116 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 99% 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 309,826 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.