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Selection for complex traits leaves little or no classic signatures of selection

Overview of attention for article published in BMC Genomics, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
157 Mendeley
citeulike
2 CiteULike
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Title
Selection for complex traits leaves little or no classic signatures of selection
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-246
Pubmed ID
Authors

Kathryn E Kemper, Sarah J Saxton, Sunduimijid Bolormaa, Benjamin J Hayes, Michael E Goddard

Abstract

Selection signatures aim to identify genomic regions underlying recent adaptations in populations. However, the effects of selection in the genome are difficult to distinguish from random processes, such as genetic drift. Often associations between selection signatures and selected variants for complex traits is assumed even though this is rarely (if ever) tested. In this paper, we use 8 breeds of domestic cattle under strong artificial selection to investigate if selection signatures are co-located in genomic regions which are likely to be under selection.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 1%
United States 2 1%
Austria 1 <1%
Australia 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
New Zealand 1 <1%
Finland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 145 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 26%
Researcher 41 26%
Student > Master 21 13%
Professor > Associate Professor 7 4%
Student > Bachelor 6 4%
Other 22 14%
Unknown 19 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 65%
Biochemistry, Genetics and Molecular Biology 21 13%
Veterinary Science and Veterinary Medicine 4 3%
Environmental Science 2 1%
Computer Science 2 1%
Other 5 3%
Unknown 21 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 May 2014.
All research outputs
#4,769,486
of 17,897,867 outputs
Outputs from BMC Genomics
#2,183
of 9,462 outputs
Outputs of similar age
#49,737
of 199,073 outputs
Outputs of similar age from BMC Genomics
#4
of 8 outputs
Altmetric has tracked 17,897,867 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 9,462 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 76% 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 199,073 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 74% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.