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Mendeley readers
Attention Score in Context
| Title |
Differential adaptation to multi-stressed conditions of wine fermentation revealed by variations in yeast regulatory networks
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-681 |
| Pubmed ID | |
| Authors |
Christian Brion, Chloé Ambroset, Isabelle Sanchez, Jean-Luc Legras, Bruno Blondin |
| Abstract |
Variation of gene expression can lead to phenotypic variation and have therefore been assumed to contribute the diversity of wine yeast (Saccharomyces cerevisiae) properties. However, the molecular bases of this variation of gene expression are unknown. We addressed these questions by carrying out an integrated genetical-genomic study in fermentation conditions. We report here quantitative trait loci (QTL) mapping based on expression profiling in a segregating population generated by a cross between a derivative of the popular wine strain EC1118 and the laboratory strain S288c. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Burkina Faso | 1 | 1% |
| France | 1 | 1% |
| Unknown | 75 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Researcher | 19 | 24% |
| Student > Master | 9 | 11% |
| Student > Doctoral Student | 4 | 5% |
| Professor > Associate Professor | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 56% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Chemistry | 2 | 3% |
| Business, Management and Accounting | 1 | 1% |
| Environmental Science | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 19 | 24% |
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 October 2013.
All research outputs
#15,281,593
of 22,725,280 outputs
Outputs from BMC Genomics
#6,666
of 10,628 outputs
Outputs of similar age
#127,883
of 207,659 outputs
Outputs of similar age from BMC Genomics
#65
of 147 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 207,659 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.