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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Combining 3D Model Contour Energy and Keypoints for Object Tracking
|
---|---|
Chapter number | 4 |
Book title |
Computer Vision – ECCV 2018
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-01258-8_4 |
Book ISBNs |
978-3-03-001257-1, 978-3-03-001258-8
|
Authors |
Bogdan Bugaev, Anton Kryshchenko, Roman Belov, Bugaev, Bogdan, Kryshchenko, Anton, Belov, Roman |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 104 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 15% |
Student > Master | 16 | 15% |
Researcher | 14 | 13% |
Student > Bachelor | 4 | 4% |
Student > Doctoral Student | 3 | 3% |
Other | 11 | 11% |
Unknown | 40 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 49 | 47% |
Engineering | 11 | 11% |
Agricultural and Biological Sciences | 1 | <1% |
Materials Science | 1 | <1% |
Economics, Econometrics and Finance | 1 | <1% |
Other | 0 | 0% |
Unknown | 41 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 February 2020.
All research outputs
#3,692,679
of 23,253,955 outputs
Outputs from arXiv
#67,721
of 958,527 outputs
Outputs of similar age
#72,135
of 336,665 outputs
Outputs of similar age from arXiv
#1,831
of 23,793 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958,527 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 92% 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 336,665 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 23,793 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.