You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Title |
High-contrast computational caustic design
|
---|---|
Published by |
Association for Computing Machinery (ACM), July 2014
|
DOI | 10.1145/2601097.2601200 |
Authors |
Yuliy Schwartzburg, Romain Testuz, Andrea Tagliasacchi, Mark Pauly |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Unknown | 95 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 27% |
Student > Master | 24 | 25% |
Researcher | 15 | 16% |
Student > Bachelor | 6 | 6% |
Student > Doctoral Student | 4 | 4% |
Other | 6 | 6% |
Unknown | 15 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 36% |
Engineering | 17 | 18% |
Physics and Astronomy | 14 | 15% |
Design | 3 | 3% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 7 | 7% |
Unknown | 18 | 19% |