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Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds

Overview of attention for article published in Science, April 2009
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
22 X users
patent
4 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
624 Mendeley
citeulike
5 CiteULike
connotea
3 Connotea
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Article details
Title
Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds
Published in
Science, April 2009
DOI 10.1126/science.1167936
Pubmed ID
Authors

The Bovine HapMap Consortium, Richard A. Gibbs, Jeremy F. Taylor, Curtis P. Van Tassell, William Barendse, Kellye A. Eversole, Clare A. Gill, Ronnie D. Green, Debora L. Hamernik, Steven M. Kappes, Sigbjørn Lien, Lakshmi K. Matukumalli, John C. McEwan, Lynne V. Nazareth, Robert D. Schnabel, George M. Weinstock, David A. Wheeler, Paolo Ajmone-Marsan, Paul J. Boettcher, Alexandre R. Caetano, Jose Fernando Garcia, Olivier Hanotte, Paola Mariani, Loren C. Skow, Tad S. Sonstegard, John L. Williams, Boubacar Diallo, Lemecha Hailemariam, Mario L. Martinez, Chris A. Morris, Luiz O. C. Silva, Richard J. Spelman, Woudyalew Mulatu, Keyan Zhao, Colette A. Abbey, Morris Agaba, Flábio R. Araujo, Rowan J. Bunch, James Burton, Chiara Gorni, Hanotte Olivier, Blair E. Harrison, Bill Luff, Marco A. Machado, Joel Mwakaya, Graham Plastow, Warren Sim, Timothy Smith, Merle B. Thomas, Alessio Valentini, Paul Williams, James Womack, John A. Woolliams, Yue Liu, Xiang Qin, Kim C. Worley, Chuan Gao, Huaiyang Jiang, Stephen S. Moore, Yanru Ren, Xing-Zhi Song, Carlos D. Bustamante, Ryan D. Hernandez, Donna M. Muzny, Shobha Patil, Anthony San Lucas, Qing Fu, Matthew P. Kent, Richard Vega, Aruna Matukumalli, Sean McWilliam, Gert Sclep, Katarzyna Bryc, Jungwoo Choi, Hong Gao, John J. Grefenstette, Brenda Murdoch, Alessandra Stella, Rafael Villa-Angulo, Mark Wright, Jan Aerts, Oliver Jann, Riccardo Negrini, Mike E. Goddard, Ben J. Hayes, Daniel G. Bradley, Marcos Barbosa da Silva, Lilian P. L. Lau, George E. Liu, David J. Lynn, Francesca Panzitta, Ken G. Dodds

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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 624 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 10 2%
Brazil 9 1%
United Kingdom 5 <1%
Argentina 2 <1%
Belgium 2 <1%
Colombia 2 <1%
Spain 2 <1%
Ireland 2 <1%
Kenya 2 <1%
Other 19 3%
Unknown 569 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 141 23%
Student > Ph. D. Student 105 17%
Student > Master 66 11%
Student > Doctoral Student 40 6%
Professor 34 5%
Other 130 21%
Unknown 108 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 359 58%
Biochemistry, Genetics and Molecular Biology 60 10%
Computer Science 16 3%
Veterinary Science and Veterinary Medicine 14 2%
Medicine and Dentistry 12 2%
Other 41 7%
Unknown 122 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 21 May 2024.
All research outputs
#1,393,725
of 31,895,487 outputs
Outputs from Science
#23,004
of 91,472 outputs
Outputs of similar age
#3,489
of 138,508 outputs
Outputs of similar age from Science
#65
of 377 outputs
Altmetric has tracked 31,895,487 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 91,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. This one has gotten more attention than average, scoring higher than 74% 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 138,508 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 97% of its contemporaries.
We're also able to compare this research output to 377 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.