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Linking building data in the cloud: Integrating cross-domain building data using linked data

Overview of attention for article published in Artificial Intelligence in Engineering, April 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
64 patents

Citations

dimensions_citation
160 Dimensions

Readers on

mendeley
435 Mendeley
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Title
Linking building data in the cloud: Integrating cross-domain building data using linked data
Published in
Artificial Intelligence in Engineering, April 2013
DOI 10.1016/j.aei.2012.10.003
Authors

Edward Curry, James O’Donnell, Edward Corry, Souleiman Hasan, Marcus Keane, Seán O’Riain

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 435 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 6 1%
France 2 <1%
Spain 2 <1%
Slovenia 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Czechia 1 <1%
Peru 1 <1%
Malaysia 1 <1%
Other 4 <1%
Unknown 413 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 22%
Student > Master 88 20%
Researcher 38 9%
Student > Doctoral Student 30 7%
Student > Bachelor 29 7%
Other 63 14%
Unknown 91 21%
Readers by discipline Count As %
Engineering 162 37%
Computer Science 86 20%
Business, Management and Accounting 21 5%
Environmental Science 9 2%
Design 8 2%
Other 38 9%
Unknown 111 26%
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 09 April 2024.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Artificial Intelligence in Engineering
#86
of 375 outputs
Outputs of similar age
#72,451
of 212,991 outputs
Outputs of similar age from Artificial Intelligence in Engineering
#2
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 375 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 36th percentile – i.e., 36% 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 212,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.