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Motion2language, unsupervised learning of synchronized semantic motion segmentation

Overview of attention for article published in Neural Computing and Applications, December 2023
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
5 Mendeley
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Article details
Title
Motion2language, unsupervised learning of synchronized semantic motion segmentation
Published in
Neural Computing and Applications, December 2023
DOI 10.1007/s00521-023-09227-z
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline
Readers by discipline Count As %
Neuroscience 1 20%
Engineering 1 20%
Unknown 3 60%
Attention Score in Context

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 18 December 2023.
All research outputs
#16,672,328
of 25,507,011 outputs
Outputs from Neural Computing and Applications
#528
of 2,576 outputs
Outputs of similar age
#170,931
of 349,778 outputs
Outputs of similar age from Neural Computing and Applications
#6
of 36 outputs
Altmetric has tracked 25,507,011 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,576 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 79% 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 349,778 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.