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High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications

Overview of attention for article published in Visualization in Engineering, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
253 Mendeley
Title
High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications
Published in
Visualization in Engineering, June 2013
DOI 10.1186/2213-7459-1-3
Authors

Hyojoon Bae, Mani Golparvar-Fard, Jules White

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Portugal 1 <1%
Austria 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Sri Lanka 1 <1%
United States 1 <1%
Unknown 246 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 21%
Student > Master 50 20%
Researcher 15 6%
Student > Doctoral Student 14 6%
Student > Bachelor 12 5%
Other 35 14%
Unknown 73 29%
Readers by discipline Count As %
Engineering 113 45%
Computer Science 31 12%
Design 6 2%
Social Sciences 5 2%
Earth and Planetary Sciences 5 2%
Other 11 4%
Unknown 82 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 October 2023.
All research outputs
#5,041,659
of 23,943,619 outputs
Outputs from Visualization in Engineering
#7
of 42 outputs
Outputs of similar age
#41,965
of 200,092 outputs
Outputs of similar age from Visualization in Engineering
#1
of 1 outputs
Altmetric has tracked 23,943,619 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 42 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 35 of them.
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 200,092 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 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them