↓ Skip to main content

The genome landscape of indigenous African cattle

Overview of attention for article published in Genome Biology, February 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
4 news outlets
blogs
3 blogs
policy
1 policy source
twitter
13 X users

Citations

dimensions_citation
192 Dimensions

Readers on

mendeley
213 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The genome landscape of indigenous African cattle
Published in
Genome Biology, February 2017
DOI 10.1186/s13059-017-1153-y
Pubmed ID
Authors

Jaemin Kim, Olivier Hanotte, Okeyo Ally Mwai, Tadelle Dessie, Salim Bashir, Boubacar Diallo, Morris Agaba, Kwondo Kim, Woori Kwak, Samsun Sung, Minseok Seo, Hyeonsoo Jeong, Taehyung Kwon, Mengistie Taye, Ki-Duk Song, Dajeong Lim, Seoae Cho, Hyun-Jeong Lee, Duhak Yoon, Sung Jong Oh, Stephen Kemp, Hak-Kyo Lee, Heebal Kim

Abstract

The history of African indigenous cattle and their adaptation to environmental and human selection pressure is at the root of their remarkable diversity. Characterization of this diversity is an essential step towards understanding the genomic basis of productivity and adaptation to survival under African farming systems. We analyze patterns of African cattle genetic variation by sequencing 48 genomes from five indigenous populations and comparing them to the genomes of 53 commercial taurine breeds. We find the highest genetic diversity among African zebu and sanga cattle. Our search for genomic regions under selection reveals signatures of selection for environmental adaptive traits. In particular, we identify signatures of selection including genes and/or pathways controlling anemia and feeding behavior in the trypanotolerant N'Dama, coat color and horn development in Ankole, and heat tolerance and tick resistance across African cattle especially in zebu breeds. Our findings unravel at the genome-wide level, the unique adaptive diversity of African cattle while emphasizing the opportunities for sustainable improvement of livestock productivity on the continent.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Unknown 212 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 20%
Student > Ph. D. Student 32 15%
Student > Master 26 12%
Student > Bachelor 13 6%
Student > Doctoral Student 11 5%
Other 33 15%
Unknown 55 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 40%
Biochemistry, Genetics and Molecular Biology 31 15%
Veterinary Science and Veterinary Medicine 14 7%
Medicine and Dentistry 5 2%
Environmental Science 4 2%
Other 14 7%
Unknown 59 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 01 January 2023.
All research outputs
#701,777
of 25,382,440 outputs
Outputs from Genome Biology
#454
of 4,468 outputs
Outputs of similar age
#14,674
of 323,273 outputs
Outputs of similar age from Genome Biology
#11
of 63 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 323,273 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.