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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis
|
|---|---|
| Published in |
BioMedical Engineering OnLine, May 2018
|
| DOI | 10.1186/s12938-018-0491-7 |
| Pubmed ID | |
| Authors |
Massimo Capoccia, Silvia Marconi, Sanjeet Avtaar Singh, Domenico M. Pisanelli, Claudio De Lazzari |
| Abstract |
Modelling and simulation may become clinically applicable tools for detailed evaluation of the cardiovascular system and clinical decision-making to guide therapeutic intervention. Models based on pressure-volume relationship and zero-dimensional representation of the cardiovascular system may be a suitable choice given their simplicity and versatility. This approach has great potential for application in heart failure where the impact of left ventricular assist devices has played a significant role as a bridge to transplant and more recently as a long-term solution for non eligible candidates. We sought to investigate the value of simulation in the context of three heart failure patients with a view to predict or guide further management. CARDIOSIM© was the software used for this purpose. The study was based on retrospective analysis of haemodynamic data previously discussed at a multidisciplinary meeting. The outcome of the simulations addressed the value of a more quantitative approach in the clinical decision process. Although previous experience, co-morbidities and the risk of potentially fatal complications play a role in clinical decision-making, patient-specific modelling may become a daily approach for selection and optimisation of device-based treatment for heart failure patients. Willingness to adopt this integrated approach may be the key to further progress. |
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 % |
|---|---|---|
| United Kingdom | 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Student > Master | 7 | 15% |
| Student > Bachelor | 6 | 13% |
| Other | 5 | 10% |
| Researcher | 5 | 10% |
| Other | 8 | 17% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 25% |
| Engineering | 11 | 23% |
| Nursing and Health Professions | 2 | 4% |
| Computer Science | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 11 | 23% |
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 01 June 2018.
All research outputs
#20,516,195
of 23,083,773 outputs
Outputs from BioMedical Engineering OnLine
#691
of 824 outputs
Outputs of similar age
#287,364
of 326,404 outputs
Outputs of similar age from BioMedical Engineering OnLine
#14
of 15 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 326,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.