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Pyrosequencing-based analysis of fecal microbial communities in three purebred pig lines

Overview of attention for article published in Journal of Microbiology, July 2014
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92 Mendeley
Title
Pyrosequencing-based analysis of fecal microbial communities in three purebred pig lines
Published in
Journal of Microbiology, July 2014
DOI 10.1007/s12275-014-4270-2
Pubmed ID
Authors

Edward Alain B. Pajarillo, Jong Pyo Chae, Marilen P. Balolong, Hyeun Bum Kim, Kang-Seok Seo, Dae-Kyung Kang

Abstract

This study examined the fecal bacterial diversity of 15-weekold pigs from three purebred lines: Duroc, Landrace, and Yorkshire. Taxon-dependent and -independent analyses were performed to evaluate differences in the fecal bacterial communities and to identify bacterial genera that can be used to discriminate breeds, following high-throughput pyrosequencing of 16S rRNA genes. Among the breeds evaluated, Landrace had the most diverse bacterial community composition. Prevotella, Blautia, Oscillibacter, and Clostridium were detected in all samples regardless of breed. On the other hand, Catenibacterium, Blautia, Dialister, and Sphaerochaeta were differentially detected among breeds, as demonstrated by the canonical loading plot. The discriminant analysis of principal components plot also showed clear separation of the three purebred pig lines, with a certain degree of similarity between Landrace and Yorkshire pigs and a distinct separation between Duroc pigs and the other two breeds. Other factors not related to breed, such as season or time of sampling and pen effects, may contribute to shaping the gut microbiota of pigs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 20 22%
Student > Master 13 14%
Student > Bachelor 6 7%
Student > Doctoral Student 3 3%
Other 7 8%
Unknown 23 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 40%
Biochemistry, Genetics and Molecular Biology 10 11%
Veterinary Science and Veterinary Medicine 9 10%
Immunology and Microbiology 5 5%
Environmental Science 1 1%
Other 5 5%
Unknown 25 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 October 2015.
All research outputs
#15,729,845
of 23,975,976 outputs
Outputs from Journal of Microbiology
#402
of 842 outputs
Outputs of similar age
#129,605
of 232,312 outputs
Outputs of similar age from Journal of Microbiology
#9
of 19 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 842 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 232,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.