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Cattle genome-wide analysis reveals genetic signatures in trypanotolerant N’Dama

Overview of attention for article published in BMC Genomics, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
14 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
2 CiteULike
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Title
Cattle genome-wide analysis reveals genetic signatures in trypanotolerant N’Dama
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3742-2
Pubmed ID
Authors

Soo-Jin Kim, Sojeong Ka, Jung-Woo Ha, Jaemin Kim, DongAhn Yoo, Kwondo Kim, Hak-Kyo Lee, Dajeong Lim, Seoae Cho, Olivier Hanotte, Okeyo Ally Mwai, Tadelle Dessie, Stephen Kemp, Sung Jong Oh, Heebal Kim

Abstract

Indigenous cattle in Africa have adapted to various local environments to acquire superior phenotypes that enhance their survival under harsh conditions. While many studies investigated the adaptation of overall African cattle, genetic characteristics of each breed have been poorly studied. We performed the comparative genome-wide analysis to assess evidence for subspeciation within species at the genetic level in trypanotolerant N'Dama cattle. We analysed genetic variation patterns in N'Dama from the genomes of 101 cattle breeds including 48 samples of five indigenous African cattle breeds and 53 samples of various commercial breeds. Analysis of SNP variances between cattle breeds using wMI, XP-CLR, and XP-EHH detected genes containing N'Dama-specific genetic variants and their potential associations. Functional annotation analysis revealed that these genes are associated with ossification, neurological and immune system. Particularly, the genes involved in bone formation indicate that local adaptation of N'Dama may engage in skeletal growth as well as immune systems. Our results imply that N'Dama might have acquired distinct genotypes associated with growth and regulation of regional diseases including trypanosomiasis. Moreover, this study offers significant insights into identifying genetic signatures for natural and artificial selection of diverse African cattle breeds.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 10 15%
Student > Bachelor 9 14%
Student > Doctoral Student 6 9%
Student > Master 6 9%
Other 11 17%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 43%
Biochemistry, Genetics and Molecular Biology 15 23%
Veterinary Science and Veterinary Medicine 3 5%
Medicine and Dentistry 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 9%
Unknown 8 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 October 2020.
All research outputs
#2,773,465
of 21,069,566 outputs
Outputs from BMC Genomics
#1,077
of 10,211 outputs
Outputs of similar age
#52,867
of 283,225 outputs
Outputs of similar age from BMC Genomics
#3
of 6 outputs
Altmetric has tracked 21,069,566 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,211 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 89% 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 283,225 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 81% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.