| Title |
Surgical techniques: robot-assisted laparoscopic myomectomy with the da Vinci® surgical system
|
|---|---|
| Published in |
Journal of Robotic Surgery, February 2007
|
| DOI | 10.1007/s11701-007-0014-1 |
| Pubmed ID | |
| Authors |
Sangeeta Senapati, Arnold P. Advincula |
| Abstract |
Myomectomy remains the surgical option of choice for women with symptomatic leiomyomata who desire uterine conservation or in particular future fertility. The ability to enucleate leiomyomata and repair the uterus with a multilayer-sutured closure is both crucial and technically challenging. Advanced gynecologic pathology and the surgical limitations of conventional laparoscopy have often been cited as impediments to not only these critical steps but also to converting a myomectomy from a procedure predominantly performed by laparotomy to one accomplished by laparoscopy. Recently, the use of robotic technology as a means to facilitate the laparoscopic completion of a myomectomy was introduced. Advantages to this approach have been the improved dexterity and precision of the instruments coupled with three-dimensional imaging. Published preliminary data have shown the feasibility and safety to this approach. This paper will outline a safe and efficient surgical technique for completing a robot-assisted laparoscopic myomectomy with the da Vinci(®) surgical system. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 5% |
| Portugal | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Student > Master | 3 | 16% |
| Other | 2 | 11% |
| Researcher | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Other | 4 | 21% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 32% |
| Engineering | 5 | 26% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Computer Science | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2014.
All research outputs
#14,605,487
of 22,675,759 outputs
Outputs from Journal of Robotic Surgery
#352
of 675 outputs
Outputs of similar age
#135,256
of 160,187 outputs
Outputs of similar age from Journal of Robotic Surgery
#5
of 7 outputs
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So far Altmetric has tracked 675 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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