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Merino and Merino-derived sheep breeds: a genome-wide intercontinental study

Overview of attention for article published in Genetics Selection Evolution, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 822)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 news outlet
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2 X users
wikipedia
3 Wikipedia pages
video
1 YouTube creator

Citations

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79 Dimensions

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78 Mendeley
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Title
Merino and Merino-derived sheep breeds: a genome-wide intercontinental study
Published in
Genetics Selection Evolution, August 2015
DOI 10.1186/s12711-015-0139-z
Pubmed ID
Authors

Elena Ciani, Emiliano Lasagna, Mariasilvia D’Andrea, Ingrid Alloggio, Fabio Marroni, Simone Ceccobelli, Juan V. Delgado Bermejo, Francesca M. Sarti, James Kijas, Johannes A. Lenstra, Fabio Pilla, the International Sheep Genomics Consortium

Abstract

Merino and Merino-derived sheep breeds have been widely distributed across the world, both as purebred and admixed populations. They represent an economically and historically important genetic resource which over time has been used as the basis for the development of new breeds. In order to examine the genetic influence of Merino in the context of a global collection of domestic sheep breeds, we analyzed genotype data that were obtained with the OvineSNP50 BeadChip (Illumina) for 671 individuals from 37 populations, including a subset of breeds from the Sheep HapMap dataset. Based on a multi-dimensional scaling analysis, we highlighted four main clusters in this dataset, which corresponded to wild sheep, mouflon, primitive North European breeds and modern sheep (including Merino), respectively. The neighbor-network analysis further differentiated North-European and Mediterranean domestic breeds, with subclusters of Merino and Merino-derived breeds, other Spanish breeds and other Italian breeds. Model-based clustering, migration analysis and haplotype sharing indicated that genetic exchange occurred between archaic populations and also that a more recent Merino-mediated gene flow to several Merino-derived populations around the world took place. The close relationship between Spanish Merino and other Spanish breeds was consistent with an Iberian origin for the Merino breed, with possible earlier contributions from other Mediterranean stocks. The Merino populations from Australia, New Zealand and China were clearly separated from their European ancestors. We observed a genetic substructuring in the Spanish Merino population, which reflects recent herd management practices. Our data suggest that intensive gene flow, founder effects and geographic isolation are the main factors that determined the genetic makeup of current Merino and Merino-derived breeds. To explain how the current Merino and Merino-derived breeds were obtained, we propose a scenario that includes several consecutive migrations of sheep populations that may serve as working hypotheses for subsequent studies.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 9 12%
Student > Master 9 12%
Student > Doctoral Student 5 6%
Student > Bachelor 4 5%
Other 12 15%
Unknown 21 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 38%
Biochemistry, Genetics and Molecular Biology 9 12%
Veterinary Science and Veterinary Medicine 5 6%
Social Sciences 2 3%
Nursing and Health Professions 1 1%
Other 5 6%
Unknown 26 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 04 February 2023.
All research outputs
#2,174,525
of 25,374,647 outputs
Outputs from Genetics Selection Evolution
#26
of 822 outputs
Outputs of similar age
#27,652
of 276,632 outputs
Outputs of similar age from Genetics Selection Evolution
#2
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 96% 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 276,632 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 89% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.