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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Depth Extraction from Video Using Non-parametric Sampling
|
|---|---|
| Chapter number | 56 |
| Book title |
Computer Vision – ECCV 2012
|
| Published in |
arXiv, October 2012
|
| DOI | 10.1007/978-3-642-33715-4_56 |
| Book ISBNs |
978-3-64-233714-7, 978-3-64-233715-4
|
| Authors |
Kevin Karsch, Ce Liu, Sing Bing Kang, Karsch, Kevin, Liu, Ce, Kang, Sing Bing |
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 % |
|---|---|---|
| Unknown | 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 1% |
| Canada | 2 | 1% |
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 142 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 31% |
| Student > Master | 32 | 21% |
| Researcher | 16 | 10% |
| Student > Bachelor | 15 | 10% |
| Professor > Associate Professor | 9 | 6% |
| Other | 19 | 12% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 99 | 64% |
| Engineering | 30 | 19% |
| Economics, Econometrics and Finance | 1 | <1% |
| Mathematics | 1 | <1% |
| Social Sciences | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 22 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 January 2021.
All research outputs
#7,306,228
of 23,041,514 outputs
Outputs from arXiv
#160,284
of 946,399 outputs
Outputs of similar age
#54,934
of 173,872 outputs
Outputs of similar age from arXiv
#567
of 3,934 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 946,399 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 82% 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 173,872 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 3,934 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.