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Multiple testing correction in linear mixed models

Overview of attention for article published in Genome Biology, April 2016
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
20 X users

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
153 Mendeley
citeulike
1 CiteULike
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Title
Multiple testing correction in linear mixed models
Published in
Genome Biology, April 2016
DOI 10.1186/s13059-016-0903-6
Pubmed ID
Authors

Jong Wha J. Joo, Farhad Hormozdiari, Buhm Han, Eleazar Eskin

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Russia 1 <1%
Denmark 1 <1%
Norway 1 <1%
Unknown 145 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 25%
Student > Ph. D. Student 33 22%
Student > Master 18 12%
Student > Doctoral Student 10 7%
Student > Postgraduate 6 4%
Other 21 14%
Unknown 27 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 31%
Biochemistry, Genetics and Molecular Biology 22 14%
Computer Science 9 6%
Neuroscience 6 4%
Medicine and Dentistry 6 4%
Other 26 17%
Unknown 36 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 01 January 2023.
All research outputs
#2,329,127
of 25,721,020 outputs
Outputs from Genome Biology
#1,902
of 4,507 outputs
Outputs of similar age
#36,857
of 315,603 outputs
Outputs of similar age from Genome Biology
#46
of 81 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has gotten more attention than average, scoring higher than 57% 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 315,603 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 81 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.