Title |
Computational coherent Raman scattering imaging: breaking physical barriers by fusion of advanced instrumentation and data science
|
---|---|
Published in |
eLight, March 2023
|
DOI | 10.1186/s43593-022-00038-8 |
Authors |
Haonan Lin, Ji-Xin Cheng |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 2 | 18% |
France | 1 | 9% |
Singapore | 1 | 9% |
Spain | 1 | 9% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 55% |
Scientists | 3 | 27% |
Science communicators (journalists, bloggers, editors) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 13% |
Other | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Unspecified | 1 | 6% |
Professor | 1 | 6% |
Other | 3 | 19% |
Unknown | 7 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 2 | 13% |
Engineering | 2 | 13% |
Physics and Astronomy | 2 | 13% |
Unspecified | 1 | 6% |
Materials Science | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 44% |