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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
169 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

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

Mendeley readers

The data shown below were compiled from readership statistics for 169 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 157 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 25%
Student > Ph. D. Student 42 25%
Student > Master 21 12%
Student > Doctoral Student 7 4%
Student > Bachelor 7 4%
Other 26 15%
Unknown 23 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 105 62%
Biochemistry, Genetics and Molecular Biology 21 12%
Veterinary Science and Veterinary Medicine 4 2%
Unspecified 3 2%
Environmental Science 3 2%
Other 7 4%
Unknown 26 15%
Attention Score in Context

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
#6,386,024
of 23,881,329 outputs
Outputs from BMC Genomics
#2,603
of 10,793 outputs
Outputs of similar age
#73,022
of 311,165 outputs
Outputs of similar age from BMC Genomics
#124
of 441 outputs
Altmetric has tracked 23,881,329 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 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 75% 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 311,165 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 76% of its contemporaries.
We're also able to compare this research output to 441 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 71% of its contemporaries.