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Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigs

Overview of attention for article published in BMC Genomic Data, February 2014
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Title
Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigs
Published in
BMC Genomic Data, February 2014
DOI 10.1186/1471-2156-15-27
Pubmed ID
Authors

Duy Ngoc Do, Tage Ostersen, Anders Bjerring Strathe, Thomas Mark, Just Jensen, Haja N Kadarmideen

Abstract

Feed efficiency is one of the major components determining costs of animal production. Residual feed intake (RFI) is defined as the difference between the observed and the expected feed intake given a certain production. Residual feed intake 1 (RFI1) was calculated based on regression of individual daily feed intake (DFI) on initial test weight and average daily gain. Residual feed intake 2 (RFI2) was as RFI1 except it was also regressed with respect to backfat (BF). It has been shown to be a sensitive and accurate measure for feed efficiency in livestock but knowledge of the genomic regions and mechanisms affecting RFI in pigs is lacking. The study aimed to identify genetic markers and candidate genes for RFI and its component traits as well as pathways associated with RFI in Danish Duroc boars by genome-wide associations and systems genetic analyses.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
India 1 1%
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 89 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 16 17%
Student > Master 14 15%
Student > Doctoral Student 7 7%
Student > Bachelor 5 5%
Other 17 18%
Unknown 11 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 63%
Biochemistry, Genetics and Molecular Biology 5 5%
Veterinary Science and Veterinary Medicine 5 5%
Medicine and Dentistry 3 3%
Unspecified 1 1%
Other 4 4%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 May 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#176,615
of 238,192 outputs
Outputs of similar age from BMC Genomic Data
#13
of 20 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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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 is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.