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Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging

Overview of attention for article published in Clinical Epigenetics, July 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 1,303)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
4 X users
patent
1 patent

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging
Published in
Clinical Epigenetics, July 2020
DOI 10.1186/s13148-020-00899-1
Pubmed ID
Authors

Mariana Boroni, Alessandra Zonari, Carolina Reis de Oliveira, Kallie Alkatib, Edgar Andres Ochoa Cruz, Lear E. Brace, Juliana Lott de Carvalho

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 9 16%
Student > Bachelor 8 14%
Student > Master 5 9%
Student > Doctoral Student 2 4%
Other 7 12%
Unknown 15 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 30%
Medicine and Dentistry 9 16%
Agricultural and Biological Sciences 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Immunology and Microbiology 2 4%
Other 9 16%
Unknown 15 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 05 June 2023.
All research outputs
#1,121,496
of 23,495,502 outputs
Outputs from Clinical Epigenetics
#48
of 1,303 outputs
Outputs of similar age
#32,875
of 398,423 outputs
Outputs of similar age from Clinical Epigenetics
#2
of 45 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 96% 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 398,423 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.