↓ Skip to main content

Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling

Overview of attention for article published in BMC Genomics, February 2022
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling
Published in
BMC Genomics, February 2022
DOI 10.1186/s12864-022-08297-y
Pubmed ID
Authors

Maryam Onifade, Marie-Hélène Roy-Gagnon, Marie-Élise Parent, Kelly M. Burkett

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 2 15%
Student > Doctoral Student 1 8%
Other 1 8%
Student > Bachelor 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 3 23%
Veterinary Science and Veterinary Medicine 1 8%
Materials Science 1 8%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 February 2023.
All research outputs
#12,942,397
of 23,341,064 outputs
Outputs from BMC Genomics
#4,432
of 10,744 outputs
Outputs of similar age
#187,198
of 509,538 outputs
Outputs of similar age from BMC Genomics
#50
of 186 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 509,538 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 62% of its contemporaries.
We're also able to compare this research output to 186 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 72% of its contemporaries.