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Selection of embryos for transfer in IVF: ranking embryos based on their implantation potential using morphological scoring

Overview of attention for article published in Reproductive BioMedicine Online, May 2014
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 X user
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1 patent

Citations

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Title
Selection of embryos for transfer in IVF: ranking embryos based on their implantation potential using morphological scoring
Published in
Reproductive BioMedicine Online, May 2014
DOI 10.1016/j.rbmo.2014.04.016
Pubmed ID
Authors

Laura van Loendersloot, Madelon van Wely, Fulco van der Veen, Patrick Bossuyt, Sjoerd Repping

Abstract

The selection of embryos based on morphology is still the core of daily laboratory practice in IVF/intracytoplasmic sperm injection. At present, the selection of embryos is primarily based on experience and local protocols. Since an evidence-based ranking strategy for embryos on day 3 is currently lacking, this work constructed a multivariable prediction model to rank embryos according to their implantation potential. A total of 6021 fresh embryo transfers between January 2004 and July 2009 were included, eight potential predictive factors were evaluated and a prediction model was developed using multivariable logistic regression. The model was externally validated with data from couples treated between August 2009 and September 2011 in the same clinic. Five factors were included in the final prediction model: early cleavage, number of blastomeres on days 2 and 3 and morphological score and presence of morula on day 3. With validation, the model showed moderate discriminative capacity (c-statistic 0.70) and calibrated well and was able to distinguish embryos with high ongoing implantation potential from embryos with moderate or low ongoing implantation potential. The model can be used by embryologists as an objective tool to rank embryos according to implantation potential, thereby aiding the selection of embryos for transfer.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Australia 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Ph. D. Student 9 18%
Researcher 7 14%
Student > Bachelor 5 10%
Student > Postgraduate 3 6%
Other 6 12%
Unknown 9 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 22%
Medicine and Dentistry 11 22%
Biochemistry, Genetics and Molecular Biology 9 18%
Engineering 3 6%
Mathematics 1 2%
Other 2 4%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 April 2021.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from Reproductive BioMedicine Online
#838
of 2,421 outputs
Outputs of similar age
#72,419
of 241,493 outputs
Outputs of similar age from Reproductive BioMedicine Online
#7
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 241,493 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 68% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.