| Title |
Colour Vision Model-Based Approach for Segmentation of Traffic Signs
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, December 2007
|
| DOI | 10.1155/2008/386705 |
| Authors |
Xiaohong Gao, Kunbin Hong, Peter Passmore, Lubov Podladchikova, Dmitry Shaposhnikov |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| France | 2 | 6% |
| Germany | 1 | 3% |
| Malaysia | 1 | 3% |
| China | 1 | 3% |
| Russia | 1 | 3% |
| Unknown | 25 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Researcher | 6 | 18% |
| Student > Master | 6 | 18% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 45% |
| Engineering | 11 | 33% |
| Psychology | 1 | 3% |
| Neuroscience | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 12% |
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 02 March 2016.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from EURASIP Journal on Image and Video Processing
#56
of 233 outputs
Outputs of similar age
#43,457
of 166,835 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#2
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 51% 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 166,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.