| Title |
Orientation-distribution mapping of polycrystalline materials by Raman microspectroscopy
|
|---|---|
| Published in |
Scientific Reports, December 2015
|
| DOI | 10.1038/srep18410 |
| Pubmed ID | |
| Authors |
T. Schmid, N. Schäfer, S. Levcenko, T. Rissom, D. Abou-Ras |
| Abstract |
Raman microspectroscopy provides the means to obtain local orientations on polycrystalline materials at the submicrometer level. The present work demonstrates how orientation-distribution maps composed of Raman intensity distributions can be acquired on large areas of several hundreds of square micrometers. A polycrystalline CuInSe2 thin film was used as a model system. The orientation distributions are evidenced by corresponding measurements using electron backscatter diffraction (EBSD) on the same identical specimen positions. The quantitative, local orientation information obtained by means of EBSD was used to calculate the theoretical Raman intensities for specific grain orientations, which agree well with the experimental values. The presented approach establishes new horizons for Raman microspectroscopy as a tool for quantitative, microstructural analysis at submicrometer resolution. |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 77 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 29% |
| Researcher | 15 | 19% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Professor | 5 | 6% |
| Other | 9 | 11% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 19 | 24% |
| Materials Science | 11 | 14% |
| Chemistry | 10 | 13% |
| Earth and Planetary Sciences | 6 | 8% |
| Engineering | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 73. 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 12 February 2022.
All research outputs
#506,321
of 23,106,934 outputs
Outputs from Scientific Reports
#5,697
of 124,899 outputs
Outputs of similar age
#8,825
of 364,359 outputs
Outputs of similar age from Scientific Reports
#143
of 2,702 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 124,899 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 95% 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 364,359 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 97% of its contemporaries.
We're also able to compare this research output to 2,702 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 94% of its contemporaries.