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An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data

Overview of attention for article published in Reproductive Biology and Endocrinology, December 2021
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1 X user

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49 Mendeley
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Title
An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data
Published in
Reproductive Biology and Endocrinology, December 2021
DOI 10.1186/s12958-021-00864-4
Pubmed ID
Authors

Bo Huang, Wei Tan, Zhou Li, Lei Jin

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 %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Unspecified 4 8%
Other 3 6%
Student > Ph. D. Student 3 6%
Student > Bachelor 3 6%
Other 6 12%
Unknown 24 49%
Readers by discipline Count As %
Medicine and Dentistry 6 12%
Biochemistry, Genetics and Molecular Biology 4 8%
Unspecified 4 8%
Engineering 3 6%
Computer Science 2 4%
Other 3 6%
Unknown 27 55%
Attention Score in Context

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 20 December 2021.
All research outputs
#18,353,475
of 22,729,647 outputs
Outputs from Reproductive Biology and Endocrinology
#655
of 966 outputs
Outputs of similar age
#355,277
of 496,874 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#23
of 39 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 966 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 14th percentile – i.e., 14% 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 496,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.