↓ Skip to main content

Sequencing of the Cheese Microbiome and Its Relevance to Industry

Overview of attention for article published in Frontiers in Microbiology, May 2018
Altmetric Badge

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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users

Readers on

mendeley
253 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Sequencing of the Cheese Microbiome and Its Relevance to Industry
Published in
Frontiers in Microbiology, May 2018
DOI 10.3389/fmicb.2018.01020
Pubmed ID
Authors

Bhagya. R. Yeluri Jonnala, Paul L. H. McSweeney, Jeremiah J. Sheehan, Paul D. Cotter

Abstract

The microbiota of cheese plays a key role in determining its organoleptic and other physico-chemical properties. It is essential to understand the various contributions, positive or negative, of these microbial components in order to promote the growth of desirable taxa and, thus, characteristics. The recent application of high throughput DNA sequencing (HTS) facilitates an even more accurate identification of these microbes, and their functional properties, and has the potential to reveal those microbes, and associated pathways, responsible for favorable or unfavorable characteristics. This technology also facilitates a detailed analysis of the composition and functional potential of the microbiota of milk, curd, whey, mixed starters, processing environments, and how these contribute to the final cheese microbiota, and associated characteristics. Ultimately, this information can be harnessed by producers to optimize the quality, safety, and commercial value of their products. In this review we highlight a number of key studies in which HTS was employed to study the cheese microbiota, and pay particular attention to those of greatest relevance to industry.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 253 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 14%
Researcher 33 13%
Student > Bachelor 31 12%
Student > Master 28 11%
Student > Doctoral Student 16 6%
Other 45 18%
Unknown 64 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 27%
Biochemistry, Genetics and Molecular Biology 41 16%
Immunology and Microbiology 15 6%
Unspecified 8 3%
Veterinary Science and Veterinary Medicine 7 3%
Other 30 12%
Unknown 83 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 23 August 2019.
All research outputs
#2,622,915
of 24,885,505 outputs
Outputs from Frontiers in Microbiology
#2,070
of 28,434 outputs
Outputs of similar age
#52,755
of 336,239 outputs
Outputs of similar age from Frontiers in Microbiology
#70
of 632 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 92% 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 336,239 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 84% of its contemporaries.
We're also able to compare this research output to 632 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.