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Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

Overview of attention for article published in Genome Biology, December 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
58 X users

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
142 Mendeley
Title
Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation
Published in
Genome Biology, December 2018
DOI 10.1186/s13059-018-1601-3
Pubmed ID
Authors

Lucas T. Husquin, Maxime Rotival, Maud Fagny, Hélène Quach, Nora Zidane, Lisa M. McEwen, Julia L. MacIsaac, Michael S. Kobor, Hugues Aschard, Etienne Patin, Lluis Quintana-Murci

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 25%
Researcher 25 18%
Student > Bachelor 16 11%
Student > Master 12 8%
Student > Doctoral Student 6 4%
Other 18 13%
Unknown 30 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 30%
Agricultural and Biological Sciences 33 23%
Medicine and Dentistry 9 6%
Immunology and Microbiology 6 4%
Nursing and Health Professions 2 1%
Other 13 9%
Unknown 37 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 06 July 2022.
All research outputs
#1,147,627
of 25,385,509 outputs
Outputs from Genome Biology
#851
of 4,468 outputs
Outputs of similar age
#25,981
of 443,612 outputs
Outputs of similar age from Genome Biology
#20
of 68 outputs
Altmetric has tracked 25,385,509 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 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 80% 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 443,612 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 94% of its contemporaries.
We're also able to compare this research output to 68 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 70% of its contemporaries.