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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
|
---|---|
Chapter number | 22 |
Book title |
Pattern Recognition and Artificial Intelligence
|
Published in |
arXiv, May 2022
|
DOI | 10.1007/978-3-031-09282-4_22 |
Book ISBNs |
978-3-03-109281-7, 978-3-03-109282-4
|
Authors |
Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi, Alinezhad Noghre, Ghazal, Danesh Pazho, Armin, Sanchez, Justin, Hewitt, Nathan, Neff, Christopher, Tabkhi, Hamed |
X Demographics
The data shown below were collected from the profiles of 3 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 % |
---|---|---|
Netherlands | 1 | 33% |
Japan | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 29% |
Researcher | 2 | 29% |
Student > Ph. D. Student | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Physics and Astronomy | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 June 2022.
All research outputs
#14,552,599
of 23,305,591 outputs
Outputs from arXiv
#290,159
of 960,727 outputs
Outputs of similar age
#211,118
of 440,982 outputs
Outputs of similar age from arXiv
#11,636
of 37,015 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 960,727 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 440,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37,015 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.