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Data linking and interaction between BIM and robotic operating system (ROS) for flexible construction planning

Overview of attention for article published in Automation in Construction, July 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Data linking and interaction between BIM and robotic operating system (ROS) for flexible construction planning
Published in
Automation in Construction, July 2024
DOI 10.1016/j.autcon.2024.105426
Authors

Aiyu Zhu, Pieter Pauwels, Elena Torta, Hong Zhang, Bauke De Vries

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 29%
Student > Ph. D. Student 3 10%
Lecturer 2 6%
Professor 1 3%
Other 1 3%
Other 2 6%
Unknown 13 42%
Readers by discipline Count As %
Unspecified 9 29%
Engineering 6 19%
Arts and Humanities 2 6%
Computer Science 1 3%
Unknown 13 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 May 2024.
All research outputs
#4,481,783
of 25,864,668 outputs
Outputs from Automation in Construction
#88
of 1,070 outputs
Outputs of similar age
#904
of 7,431 outputs
Outputs of similar age from Automation in Construction
#2
of 9 outputs
Altmetric has tracked 25,864,668 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,070 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 91% 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 7,431 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.