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A formalism for utilization of sensor systems and integrated project models for active construction quality control

Overview of attention for article published in Automation in Construction, March 2006
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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 (72nd percentile)

Mentioned by

patent
7 patents

Citations

dimensions_citation
237 Dimensions

Readers on

mendeley
307 Mendeley
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Title
A formalism for utilization of sensor systems and integrated project models for active construction quality control
Published in
Automation in Construction, March 2006
DOI 10.1016/j.autcon.2005.01.008
Authors

Burcu Akinci, Frank Boukamp, Chris Gordon, Daniel Huber, Catherine Lyons, Kuhn Park

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Greece 1 <1%
Sweden 1 <1%
Unknown 299 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 21%
Student > Master 63 21%
Student > Bachelor 31 10%
Student > Doctoral Student 19 6%
Researcher 13 4%
Other 43 14%
Unknown 72 23%
Readers by discipline Count As %
Engineering 170 55%
Business, Management and Accounting 15 5%
Computer Science 12 4%
Environmental Science 7 2%
Design 6 2%
Other 19 6%
Unknown 78 25%
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 08 December 2020.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Automation in Construction
#125
of 1,038 outputs
Outputs of similar age
#15,856
of 92,111 outputs
Outputs of similar age from Automation in Construction
#1
of 2 outputs
Altmetric has tracked 25,373,627 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 1,038 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 80% 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 92,111 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 72% of its contemporaries.
We're also able to compare this research output to 2 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