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Machine learning-based clustering to identify the combined effect of the DNA fragmentation index and conventional semen parameters on in vitro fertilization outcomes

Overview of attention for article published in Reproductive Biology and Endocrinology, March 2023
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Machine learning-based clustering to identify the combined effect of the DNA fragmentation index and conventional semen parameters on in vitro fertilization outcomes
Published in
Reproductive Biology and Endocrinology, March 2023
DOI 10.1186/s12958-023-01080-y
Pubmed ID
Authors

Tianwen Peng, Chen Liao, Xin Ye, Zhicong Chen, Xiaomin Li, Yu Lan, Xin Fu, Geng An

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 11%
Student > Doctoral Student 1 11%
Unknown 7 78%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 11%
Computer Science 1 11%
Neuroscience 1 11%
Unknown 6 67%
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 26 May 2023.
All research outputs
#16,067,622
of 23,849,058 outputs
Outputs from Reproductive Biology and Endocrinology
#564
of 1,024 outputs
Outputs of similar age
#230,880
of 421,565 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#10
of 24 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 36th percentile – i.e., 36% 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 421,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.