| Title |
Fontan Surgical Planning: Previous Accomplishments, Current Challenges, and Future Directions
|
|---|---|
| Published in |
Journal of Cardiovascular Translational Research, January 2018
|
| DOI | 10.1007/s12265-018-9786-0 |
| Pubmed ID | |
| Authors |
Phillip M. Trusty, Timothy C. Slesnick, Zhenglun Alan Wei, Jarek Rossignac, Kirk R. Kanter, Mark A. Fogel, Ajit P. Yoganathan |
| Abstract |
The ultimate goal of Fontan surgical planning is to provide additional insights into the clinical decision-making process. In its current state, surgical planning offers an accurate hemodynamic assessment of the pre-operative condition, provides anatomical constraints for potential surgical options, and produces decent post-operative predictions if boundary conditions are similar enough between the pre-operative and post-operative states. Moving forward, validation with post-operative data is a necessary step in order to assess the accuracy of surgical planning and determine which methodological improvements are needed. Future efforts to automate the surgical planning process will reduce the individual expertise needed and encourage use in the clinic by clinicians. As post-operative physiologic predictions improve, Fontan surgical planning will become an more effective tool to accurately model patient-specific hemodynamics. |
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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Researcher | 10 | 16% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Unspecified | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 34% |
| Medicine and Dentistry | 8 | 13% |
| Unspecified | 3 | 5% |
| Materials Science | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 22 | 36% |
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 04 May 2018.
All research outputs
#18,601,965
of 23,041,514 outputs
Outputs from Journal of Cardiovascular Translational Research
#440
of 580 outputs
Outputs of similar age
#330,991
of 442,136 outputs
Outputs of similar age from Journal of Cardiovascular Translational Research
#10
of 16 outputs
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So far Altmetric has tracked 580 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.