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Identification of DNA methylation-regulated genes as potential biomarkers for coronary heart disease via machine learning in the Framingham Heart Study

Overview of attention for article published in Clinical Epigenetics, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Identification of DNA methylation-regulated genes as potential biomarkers for coronary heart disease via machine learning in the Framingham Heart Study
Published in
Clinical Epigenetics, September 2022
DOI 10.1186/s13148-022-01343-2
Pubmed ID
Authors

Xiaokang Zhang, Chen Wang, Dingdong He, Yating Cheng, Li Yu, Daoxi Qi, Boyu Li, Fang Zheng

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 9%
Student > Ph. D. Student 1 9%
Unknown 9 82%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Unknown 9 82%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 October 2022.
All research outputs
#13,842,768
of 23,460,553 outputs
Outputs from Clinical Epigenetics
#704
of 1,302 outputs
Outputs of similar age
#180,746
of 440,872 outputs
Outputs of similar age from Clinical Epigenetics
#17
of 39 outputs
Altmetric has tracked 23,460,553 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,302 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 43rd percentile – i.e., 43% 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 440,872 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 56% of its contemporaries.
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 has gotten more attention than average, scoring higher than 53% of its contemporaries.