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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Genetics of Non-conventional Wine Yeasts: Current Knowledge and Future Challenges
|
|---|---|
| Published in |
Frontiers in Microbiology, January 2016
|
| DOI | 10.3389/fmicb.2015.01563 |
| Pubmed ID | |
| Authors |
Isabelle Masneuf-Pomarede, Marina Bely, Philippe Marullo, Warren Albertin |
| Abstract |
Saccharomyces cerevisiae is by far the most widely used yeast in oenology. However, during the last decade, several other yeasts species has been purposed for winemaking as they could positively impact wine quality. Some of these non-conventional yeasts (Torulaspora delbrueckii, Metschnikowia pulcherrima, Pichia kluyveri, Lachancea thermotolerans, etc.) are now proposed as starters culture for winemakers in mixed fermentation with S. cerevisiae, and several others are the subject of various studies (Hanseniaspora uvarum, Starmerella bacillaris, etc.). Along with their biotechnological use, the knowledge of these non-conventional yeasts greatly increased these last 10 years. The aim of this review is to describe the last updates and the current state-of-art of the genetics of non-conventional yeasts (including S. uvarum, T. delbrueckii, S. bacillaris, etc.). We describe how genomics and genetics tools provide new data into the population structure and biodiversity of non-conventional yeasts in winemaking environments. Future challenges will lie on the development of selection programs and/or genetic improvement of these non-conventional species. We discuss how genetics, genomics and the advances in next-generation sequencing will help the wine industry to develop the biotechnological use of non-conventional yeasts to improve the quality and differentiation of wines. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Italy | 1 | <1% |
| France | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 183 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 19% |
| Student > Master | 35 | 19% |
| Researcher | 27 | 14% |
| Student > Bachelor | 25 | 13% |
| Student > Doctoral Student | 9 | 5% |
| Other | 25 | 13% |
| Unknown | 31 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 35% |
| Biochemistry, Genetics and Molecular Biology | 53 | 28% |
| Immunology and Microbiology | 7 | 4% |
| Engineering | 4 | 2% |
| Chemical Engineering | 3 | 2% |
| Other | 12 | 6% |
| Unknown | 42 | 22% |
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 23 January 2016.
All research outputs
#17,780,575
of 22,837,982 outputs
Outputs from Frontiers in Microbiology
#17,198
of 24,826 outputs
Outputs of similar age
#268,577
of 394,936 outputs
Outputs of similar age from Frontiers in Microbiology
#314
of 459 outputs
Altmetric has tracked 22,837,982 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,826 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% 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 394,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 459 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.