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From Multi-Modal Property Dataset to Robot-Centric Conceptual Knowledge About Household Objects

Overview of attention for article published in Frontiers in Robotics and AI, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
3 X users

Citations

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5 Dimensions

Readers on

mendeley
22 Mendeley
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Title
From Multi-Modal Property Dataset to Robot-Centric Conceptual Knowledge About Household Objects
Published in
Frontiers in Robotics and AI, April 2021
DOI 10.3389/frobt.2021.476084
Pubmed ID
Authors

Madhura Thosar, Christian A. Mueller, Georg Jäger, Johannes Schleiss, Narender Pulugu, Ravi Mallikarjun Chennaboina, Sai Vivek Rao Jeevangekar, Andreas Birk, Max Pfingsthorn, Sebastian Zug

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 2 9%
Researcher 2 9%
Other 1 5%
Professor 1 5%
Other 3 14%
Unknown 7 32%
Readers by discipline Count As %
Computer Science 8 36%
Engineering 4 18%
Energy 1 5%
Unknown 9 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 December 2023.
All research outputs
#14,411,792
of 25,078,088 outputs
Outputs from Frontiers in Robotics and AI
#649
of 1,723 outputs
Outputs of similar age
#199,737
of 434,136 outputs
Outputs of similar age from Frontiers in Robotics and AI
#44
of 130 outputs
Altmetric has tracked 25,078,088 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 60% 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 434,136 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 53% of its contemporaries.
We're also able to compare this research output to 130 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 63% of its contemporaries.