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Energy efficiency and risk management in public buildings: strategic model for robust planning

Overview of attention for article published in Computational Management Science, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

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5 X users

Citations

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23 Dimensions

Readers on

mendeley
28 Mendeley
Title
Energy efficiency and risk management in public buildings: strategic model for robust planning
Published in
Computational Management Science, July 2013
DOI 10.1007/s10287-013-0177-3
Authors

Emilio L. Cano, Javier M. Moguerza, Tatiana Ermolieva, Yuri Ermoliev

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Master 4 14%
Lecturer 2 7%
Professor 2 7%
Other 1 4%
Other 4 14%
Unknown 9 32%
Readers by discipline Count As %
Engineering 7 25%
Business, Management and Accounting 3 11%
Energy 3 11%
Computer Science 2 7%
Economics, Econometrics and Finance 1 4%
Other 2 7%
Unknown 10 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 March 2014.
All research outputs
#8,107,209
of 25,753,031 outputs
Outputs from Computational Management Science
#13
of 85 outputs
Outputs of similar age
#64,551
of 207,335 outputs
Outputs of similar age from Computational Management Science
#1
of 2 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 85 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 83% 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 207,335 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 67% 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