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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mixed integer programming model for optimizing the layout of an ICU vehicle
|
|---|---|
| Published in |
BMC Health Services Research, December 2009
|
| DOI | 10.1186/1472-6963-9-224 |
| Pubmed ID | |
| Authors |
Javier Sánchez Alejo, Modoaldo Garrido Martín, Miguel Ortega-Mier, Álvaro García-Sánchez |
| Abstract |
This paper presents a Mixed Integer Programming (MIP) model for designing the layout of the Intensive Care Units' (ICUs) patient care space. In particular, this MIP model was developed for optimizing the layout for materials to be used in interventions. This work was developed within the framework of a joint project between the Madrid Technical Unverstity and the Medical Emergency Services of the Madrid Regional Government (SUMMA 112). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Researcher | 3 | 17% |
| Student > Master | 3 | 17% |
| Librarian | 2 | 11% |
| Other | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 22% |
| Engineering | 4 | 22% |
| Computer Science | 2 | 11% |
| Nursing and Health Professions | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 2 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 May 2013.
All research outputs
#15,272,611
of 22,711,242 outputs
Outputs from BMC Health Services Research
#5,537
of 7,593 outputs
Outputs of similar age
#135,446
of 165,075 outputs
Outputs of similar age from BMC Health Services Research
#18
of 24 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,593 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 165,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.