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Mendeley readers
Attention Score in Context
| Title |
An empirical model for educational simulation of cervical dilation in first-stage labor
|
|---|---|
| Published in |
Advances in Simulation, June 2018
|
| DOI | 10.1186/s41077-018-0068-3 |
| Pubmed ID | |
| Authors |
Silvano R. Gefferie, Anouk W. J. Scholten, Kim A. E. Wijlens, M. Luísa Ferreira Bastos, M. Beatrijs van der Hout-van der Jagt, Hans Zwart, Willem J. van Meurs |
| Abstract |
Several models for educational simulation of labor and delivery were published in the literature and incorporated into a commercially available training simulator (CAE Healthcare Lucina). However, the engine of this simulator does not include a model for the clinically relevant indicators: uterine contraction amplitude and frequency, and cervical dilation. In this paper, such a model is presented for the primigravida in normal labor. The conceptual and mathematical models represent oxytocin release by the hypothalamus, oxytocin pharmacokinetics, and oxytocin effect on uterine contractions, cervical dilation, and (positive) feedback from cervical dilation to oxytocin release by the hypothalamus. Simulation results for cervical dilation are presented, together with target data for a normal primigravida. Corresponding oxytocin concentrations and amplitude and frequency of uterine contractions are also presented. An original empirical model for educational simulation of oxytocin concentration, uterine contractions, and cervical dilation in first-stage labor is presented. Simulation results for cervical dilation match target data for a normal patient. The model forms a basis for taking into account more independent variables and patient profiles and can thereby considerably expand the range of training scenarios that can be simulated. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 30% |
| Saudi Arabia | 1 | 10% |
| United Kingdom | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Student > Postgraduate | 2 | 25% |
| Student > Master | 2 | 25% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 25% |
| Agricultural and Biological Sciences | 1 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Computer Science | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 03 July 2018.
All research outputs
#6,090,901
of 24,932,492 outputs
Outputs from Advances in Simulation
#181
of 262 outputs
Outputs of similar age
#96,870
of 334,898 outputs
Outputs of similar age from Advances in Simulation
#5
of 9 outputs
Altmetric has tracked 24,932,492 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 262 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one is in the 30th percentile – i.e., 30% 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 334,898 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 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.