| Title |
Recognizing Materials Using Perceptually Inspired Features
|
|---|---|
| Published in |
International Journal of Computer Vision, February 2013
|
| DOI | 10.1007/s11263-013-0609-0 |
| Pubmed ID | |
| Authors |
Lavanya Sharan, Ce Liu, Ruth Rosenholtz, Edward H. Adelson |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Japan | 2 | 2% |
| United Kingdom | 2 | 2% |
| France | 2 | 2% |
| Unknown | 110 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 30% |
| Student > Master | 20 | 17% |
| Researcher | 16 | 13% |
| Student > Bachelor | 13 | 11% |
| Professor | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 35% |
| Engineering | 23 | 19% |
| Psychology | 11 | 9% |
| Neuroscience | 4 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 19 | 16% |
| Unknown | 17 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 June 2018.
All research outputs
#7,567,797
of 23,081,466 outputs
Outputs from International Journal of Computer Vision
#398
of 1,168 outputs
Outputs of similar age
#64,959
of 193,909 outputs
Outputs of similar age from International Journal of Computer Vision
#5
of 11 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 32nd percentile – i.e., 32% 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 193,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.