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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Summary of the 4th International Workshop on Recovering 6D Object Pose
|
---|---|
Chapter number | 36 |
Book title |
Computer Vision – ECCV 2018 Workshops
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-11009-3_36 |
Book ISBNs |
978-3-03-011008-6, 978-3-03-011009-3
|
Authors |
Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas, Tomáš Hodaň, Jiří Matas, Hodaň, Tomáš, Kouskouridas, Rigas, Kim, Tae-Kyun, Tombari, Federico, Bekris, Kostas, Drost, Bertram, Groueix, Thibault, Walas, Krzysztof, Lepetit, Vincent, Leonardis, Ales, Steger, Carsten, Michel, Frank, Sahin, Caner, Rother, Carsten, Matas, Jiří |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 30% |
Czechia | 1 | 10% |
Netherlands | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 3 | 30% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 63 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 27% |
Student > Master | 12 | 19% |
Researcher | 11 | 17% |
Student > Bachelor | 4 | 6% |
Lecturer | 2 | 3% |
Other | 4 | 6% |
Unknown | 13 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 54% |
Engineering | 16 | 25% |
Medicine and Dentistry | 1 | 2% |
Unknown | 12 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 10 August 2022.
All research outputs
#2,605,112
of 24,002,307 outputs
Outputs from arXiv
#46,139
of 1,011,770 outputs
Outputs of similar age
#53,970
of 339,604 outputs
Outputs of similar age from arXiv
#1,149
of 24,367 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 95% 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 339,604 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 84% of its contemporaries.
We're also able to compare this research output to 24,367 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 95% of its contemporaries.