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Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality

Overview of attention for article published in Clinical Epigenetics, December 2018
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1 X user

Citations

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97 Mendeley
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Title
Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality
Published in
Clinical Epigenetics, December 2018
DOI 10.1186/s13148-018-0591-z
Pubmed ID
Authors

Xinyu Zhang, Ying Hu, Bradley E. Aouizerat, Gang Peng, Vincent C. Marconi, Michael J. Corley, Todd Hulgan, Kendall J. Bryant, Hongyu Zhao, John H. Krystal, Amy C. Justice, Ke Xu

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Student > Doctoral Student 10 10%
Other 9 9%
Student > Bachelor 8 8%
Researcher 7 7%
Other 17 18%
Unknown 31 32%
Readers by discipline Count As %
Medicine and Dentistry 15 15%
Computer Science 8 8%
Nursing and Health Professions 7 7%
Biochemistry, Genetics and Molecular Biology 7 7%
Psychology 7 7%
Other 15 15%
Unknown 38 39%
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 21 December 2018.
All research outputs
#21,075,298
of 25,837,817 outputs
Outputs from Clinical Epigenetics
#1,188
of 1,452 outputs
Outputs of similar age
#343,274
of 449,718 outputs
Outputs of similar age from Clinical Epigenetics
#25
of 35 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 10th percentile – i.e., 10% 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 449,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.