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Genome sequencing and genetic breeding of a bioethanol Saccharomyces cerevisiae strain YJS329

Overview of attention for article published in BMC Genomics, September 2012
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Citations

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36 Dimensions

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62 Mendeley
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Title
Genome sequencing and genetic breeding of a bioethanol Saccharomyces cerevisiae strain YJS329
Published in
BMC Genomics, September 2012
DOI 10.1186/1471-2164-13-479
Pubmed ID
Authors

Dao-Qiong Zheng, Pin-Mei Wang, Jie Chen, Ke Zhang, Tian-Zhe Liu, Xue-Chang Wu, Yu-Dong Li, Yu-Hua Zhao

Abstract

Environmental stresses and inhibitors encountered by Saccharomyces cerevisiae strains are the main limiting factors in bioethanol fermentation. Strains with different genetic backgrounds usually show diverse stress tolerance responses. An understanding of the mechanisms underlying these phenotypic diversities within S. cerevisiae populations could guide the construction of strains with desired traits.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
United Arab Emirates 1 2%
Sweden 1 2%
Canada 1 2%
Thailand 1 2%
Unknown 56 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Student > Ph. D. Student 13 21%
Student > Master 5 8%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Other 11 18%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 56%
Biochemistry, Genetics and Molecular Biology 12 19%
Environmental Science 2 3%
Chemical Engineering 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 6%
Unknown 7 11%
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 16 September 2012.
All research outputs
#13,871,657
of 22,678,224 outputs
Outputs from BMC Genomics
#5,318
of 10,615 outputs
Outputs of similar age
#95,649
of 168,699 outputs
Outputs of similar age from BMC Genomics
#62
of 119 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 168,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.