| Title |
Fast colorization based image coding algorithm using multiple resolution images
|
|---|---|
| Published in |
EURASIP Journal on Image and Video Processing, February 2016
|
| DOI | 10.1186/s13640-016-0107-8 |
| Authors |
Kazunori Uruma, Katsumi Konishi, Tomohiro Takahashi, Toshihiro Furukawa |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 9% |
| China | 1 | 9% |
| Unknown | 9 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 18% |
| Student > Master | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Librarian | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 27% |
| Mathematics | 2 | 18% |
| Engineering | 2 | 18% |
| Psychology | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 February 2016.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from EURASIP Journal on Image and Video Processing
#142
of 233 outputs
Outputs of similar age
#249,607
of 409,923 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#3
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 is in the 33rd percentile – i.e., 33% 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 409,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.