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Whole-genome sequencing of a laboratory-evolved yeast strain

Overview of attention for article published in BMC Genomics, February 2010
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

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90 Dimensions

Readers on

mendeley
251 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Whole-genome sequencing of a laboratory-evolved yeast strain
Published in
BMC Genomics, February 2010
DOI 10.1186/1471-2164-11-88
Pubmed ID
Authors

Carlos L Araya, Celia Payen, Maitreya J Dunham, Stanley Fields

Abstract

Experimental evolution of microbial populations provides a unique opportunity to study evolutionary adaptation in response to controlled selective pressures. However, until recently it has been difficult to identify the precise genetic changes underlying adaptation at a genome-wide scale. New DNA sequencing technologies now allow the genome of parental and evolved strains of microorganisms to be rapidly determined.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 4%
Australia 3 1%
Netherlands 2 <1%
Canada 2 <1%
Belgium 2 <1%
Tanzania, United Republic of 1 <1%
Sweden 1 <1%
South Africa 1 <1%
India 1 <1%
Other 5 2%
Unknown 223 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 29%
Student > Ph. D. Student 63 25%
Student > Master 24 10%
Professor > Associate Professor 17 7%
Student > Bachelor 14 6%
Other 43 17%
Unknown 18 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 171 68%
Biochemistry, Genetics and Molecular Biology 30 12%
Medicine and Dentistry 8 3%
Immunology and Microbiology 4 2%
Physics and Astronomy 3 1%
Other 12 5%
Unknown 23 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 June 2023.
All research outputs
#7,922,551
of 23,862,416 outputs
Outputs from BMC Genomics
#3,756
of 10,847 outputs
Outputs of similar age
#50,708
of 170,576 outputs
Outputs of similar age from BMC Genomics
#41
of 113 outputs
Altmetric has tracked 23,862,416 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,847 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 170,576 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.