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Assessment of microbiome changes after rumen transfaunation: implications on improving feed efficiency in beef cattle

Overview of attention for article published in Microbiome, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
video
1 YouTube creator

Citations

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61 Dimensions

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130 Mendeley
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Title
Assessment of microbiome changes after rumen transfaunation: implications on improving feed efficiency in beef cattle
Published in
Microbiome, March 2018
DOI 10.1186/s40168-018-0447-y
Pubmed ID
Authors

Mi Zhou, Yong-Jia Peng, Yanhong Chen, Christen M. Klinger, Masahito Oba, Jian-Xin Liu, Le Luo Guan

Abstract

Understanding the host impact on its symbiotic microbiota is important in redirecting the rumen microbiota and thus improving animal performance. The current study aimed to understand how rumen microbiota were altered and re-established after being emptied and receiving content from donor, thus to understand the impact of such process on rumen microbial fermentation and to explore the microbial phylotypes with higher manipulation potentials. Individual animal had strong effect on the re-establishment of the bacterial community according to the observed profiles detected by both fingerprinting and pyrosequencing. Most of the bacterial profile recovery patterns and extents at genus level varied among steers; and each identified bacterial genus responded to transfaunation differently within each host. Coriobacteriaceae, Coprococcus, and Lactobacillus were found to be the most responsive and tunable genera by exchanging rumen content. Besides, the association of 18 bacterial phylotypes with host fermentation parameters suggest that these phylotypes should also be considered as the regulating targets in improving host feed efficiency. In addition, the archaeal community had different re-establishment patterns for each host as determined by fingerprint profiling: it was altered after receiving non-native microbiome in some animals, while it resumed its original status after the adaptation period in the other ones. The highly individualized microbial re-establishment process suggested the importance of considering host genetics, microbial functional genomics, and host fermentation/performance assessment when developing effective and selective microbial manipulation methods for improving animal feed efficiency.

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X Demographics

The data shown below were collected from the profiles of 8 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 17%
Researcher 17 13%
Student > Master 15 12%
Student > Doctoral Student 11 8%
Student > Bachelor 8 6%
Other 19 15%
Unknown 38 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 48%
Veterinary Science and Veterinary Medicine 11 8%
Biochemistry, Genetics and Molecular Biology 4 3%
Chemistry 3 2%
Environmental Science 2 2%
Other 7 5%
Unknown 41 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 31 October 2021.
All research outputs
#3,177,303
of 23,498,099 outputs
Outputs from Microbiome
#1,122
of 1,511 outputs
Outputs of similar age
#66,175
of 331,235 outputs
Outputs of similar age from Microbiome
#52
of 57 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.0. This one is in the 25th percentile – i.e., 25% 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 331,235 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 79% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.