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Recent developments in statistical methods for detecting genetic loci affecting phenotypic variability

Overview of attention for article published in BMC Genomic Data, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
135 Mendeley
citeulike
4 CiteULike
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Title
Recent developments in statistical methods for detecting genetic loci affecting phenotypic variability
Published in
BMC Genomic Data, July 2012
DOI 10.1186/1471-2156-13-63
Pubmed ID
Authors

Lars Rönnegård, William Valdar

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Norway 1 <1%
Brazil 1 <1%
India 1 <1%
Sweden 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 126 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 29%
Student > Ph. D. Student 35 26%
Student > Master 13 10%
Student > Doctoral Student 7 5%
Professor > Associate Professor 7 5%
Other 17 13%
Unknown 17 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 60%
Biochemistry, Genetics and Molecular Biology 15 11%
Medicine and Dentistry 4 3%
Unspecified 3 2%
Mathematics 2 1%
Other 10 7%
Unknown 20 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 January 2020.
All research outputs
#8,158,001
of 25,837,817 outputs
Outputs from BMC Genomic Data
#298
of 1,215 outputs
Outputs of similar age
#56,605
of 180,868 outputs
Outputs of similar age from BMC Genomic Data
#9
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 74% 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 180,868 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 67% of its contemporaries.
We're also able to compare this research output to 19 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 52% of its contemporaries.