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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
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
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