| Title |
Tunable metasurfaces for visible and SWIR applications
|
|---|---|
| Published in |
Nano Convergence, January 2020
|
| DOI | 10.1186/s40580-019-0213-2 |
| Pubmed ID | |
| Authors |
Chang-Won Lee, Hee Jin Choi, Heejeong Jeong |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Student > Master | 10 | 14% |
| Researcher | 10 | 14% |
| Student > Postgraduate | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 19 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 26% |
| Physics and Astronomy | 17 | 24% |
| Materials Science | 7 | 10% |
| Unspecified | 2 | 3% |
| Computer Science | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 25 | 36% |
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 22 March 2021.
All research outputs
#15,638,296
of 23,248,929 outputs
Outputs from Nano Convergence
#64
of 109 outputs
Outputs of similar age
#275,691
of 457,109 outputs
Outputs of similar age from Nano Convergence
#3
of 4 outputs
Altmetric has tracked 23,248,929 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 109 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 457,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.