↓ Skip to main content

Combining Unsupervised and Supervised Learning for Sample Efficient Continuous Language Grounding

Overview of attention for article published in Frontiers in Robotics and AI, September 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
1 Dimensions
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Combining Unsupervised and Supervised Learning for Sample Efficient Continuous Language Grounding
Published in
Frontiers in Robotics and AI, September 2022
DOI 10.3389/frobt.2022.701250
Pubmed ID
Authors

Oliver Roesler

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.
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 01 October 2022.
All research outputs
#18,260,357
of 23,452,723 outputs
Outputs from Frontiers in Robotics and AI
#1,169
of 1,557 outputs
Outputs of similar age
#287,945
of 440,847 outputs
Outputs of similar age from Frontiers in Robotics and AI
#54
of 109 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,557 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 14th percentile – i.e., 14% 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 440,847 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 109 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.