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Subject-Specific Human Modeling for Human Pose Estimation

Overview of attention for article published in IEEE Transactions on Human-Machine Systems, August 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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4 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Subject-Specific Human Modeling for Human Pose Estimation
Published in
IEEE Transactions on Human-Machine Systems, August 2022
DOI 10.1109/thms.2022.3195952
Authors

Yifan Lu, Genlang Chen, Chaoyi Pang, Haolan Zhang, Bailing Zhang

Timeline

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X Demographics

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.
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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 22%
Unspecified 1 11%
Professor > Associate Professor 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Computer Science 2 22%
Unspecified 1 11%
Engineering 1 11%
Unknown 5 56%
Attention Score in Context

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 02 January 2023.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from IEEE Transactions on Human-Machine Systems
#389
of 473 outputs
Outputs of similar age
#251,695
of 429,724 outputs
Outputs of similar age from IEEE Transactions on Human-Machine Systems
#2
of 4 outputs
Altmetric has tracked 25,392,582 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 473 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 7th percentile – i.e., 7% 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 429,724 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. This one has scored higher than 2 of them.