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Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2024
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1 X user

Citations

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1 Dimensions

Readers on

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9 Mendeley
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Title
Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence
Published in
Frontiers in Bioengineering and Biotechnology, February 2024
DOI 10.3389/fbioe.2024.1350135
Pubmed ID
Authors

Carlo Dindorf, Jonas Dully, Jürgen Konradi, Claudia Wolf, Stephan Becker, Steven Simon, Janine Huthwelker, Frederike Werthmann, Johanna Kniepert, Philipp Drees, Ulrich Betz, Michael Fröhlich

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 %
Researcher 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 6 67%
Readers by discipline Count As %
Computer Science 2 22%
Sports and Recreations 1 11%
Unknown 6 67%
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 14 February 2024.
All research outputs
#22,749,373
of 25,371,292 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#5,287
of 8,434 outputs
Outputs of similar age
#140,535
of 172,611 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#50
of 201 outputs
Altmetric has tracked 25,371,292 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,434 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% 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 172,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.