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Identifying ovarian cancer with machine learning DNA methylation pattern analysis

Overview of attention for article published in Scientific Reports, July 2025
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
2 news outlets
twitter
1 X user

Readers on

mendeley
10 Mendeley
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Article details
Title
Identifying ovarian cancer with machine learning DNA methylation pattern analysis
Published in
Scientific Reports, July 2025
DOI 10.1038/s41598-025-05460-9
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 2 20%
Student > Ph. D. Student 1 10%
Unknown 7 70%
Readers by discipline
Readers by discipline Count As %
Computer Science 3 30%
Unknown 7 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 September 2025.
All research outputs
#3,044,809
of 29,772,912 outputs
Outputs from Scientific Reports
#26,822
of 166,232 outputs
Outputs of similar age
#36,428
of 331,721 outputs
Outputs of similar age from Scientific Reports
#420
of 4,108 outputs
Altmetric has tracked 29,772,912 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 166,232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done well, scoring higher than 83% 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 331,721 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 4,108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.