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Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle

Overview of attention for article published in BMC Genomic Data, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users
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2 patents

Citations

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45 Dimensions

Readers on

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97 Mendeley
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Title
Single nucleotide polymorphisms for feed efficiency and performance in crossbred beef cattle
Published in
BMC Genomic Data, January 2014
DOI 10.1186/1471-2156-15-14
Pubmed ID
Authors

Mohammed K Abo-Ismail, Gordon Vander Voort, James J Squires, Kendall C Swanson, Ira B Mandell, Xiaoping Liao, Paul Stothard, Stephen Moore, Graham Plastow, Stephen P Miller

Abstract

This study was conducted to: (1) identify new SNPs for residual feed intake (RFI) and performance traits within candidate genes identified in a genome wide association study (GWAS); (2) estimate the proportion of variation in RFI explained by the detected SNPs; (3) estimate the effects of detected SNPs on carcass traits to avoid undesirable correlated effects on these economically important traits when selecting for feed efficiency; and (4) map the genes to biological mechanisms and pathways. A total number of 339 SNPs corresponding to 180 genes were tested for association with phenotypes using a single locus regression (SLRM) and genotypic model on 726 and 990 crossbred animals for feed efficiency and carcass traits, respectively.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
United States 1 1%
Canada 1 1%
Brazil 1 1%
Unknown 93 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 19%
Researcher 16 16%
Student > Ph. D. Student 12 12%
Student > Doctoral Student 9 9%
Student > Bachelor 9 9%
Other 18 19%
Unknown 15 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 59%
Biochemistry, Genetics and Molecular Biology 5 5%
Veterinary Science and Veterinary Medicine 5 5%
Economics, Econometrics and Finance 2 2%
Medicine and Dentistry 2 2%
Other 3 3%
Unknown 23 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 December 2021.
All research outputs
#4,760,313
of 25,374,647 outputs
Outputs from BMC Genomic Data
#157
of 1,204 outputs
Outputs of similar age
#53,034
of 322,830 outputs
Outputs of similar age from BMC Genomic Data
#5
of 20 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 322,830 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 83% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.