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A MultiSite GatewayTM vector set for the functional analysis of genes in the model Saccharomyces cerevisiae

Overview of attention for article published in BMC Molecular Biology, January 2012
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1 tweeter

Citations

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Title
A MultiSite GatewayTM vector set for the functional analysis of genes in the model Saccharomyces cerevisiae
Published in
BMC Molecular Biology, January 2012
DOI 10.1186/1471-2199-13-30
Pubmed ID
Authors

Astrid Nagels Durand, Tessa Moses, Rebecca De Clercq, Alain Goossens, Laurens Pauwels

Abstract

Recombinatorial cloning using the Gateway™ technology has been the method of choice for high-throughput omics projects, resulting in the availability of entire ORFeomes in Gateway™ compatible vectors. The MultiSite Gateway™ system allows combining multiple genetic fragments such as promoter, ORF and epitope tag in one single reaction. To date, this technology has not been accessible in the yeast Saccharomyces cerevisiae, one of the most widely used experimental systems in molecular biology, due to the lack of appropriate destination vectors.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Belgium 1 2%
Austria 1 2%
Unknown 43 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 28%
Student > Ph. D. Student 11 23%
Student > Doctoral Student 6 13%
Student > Master 5 11%
Student > Bachelor 3 6%
Other 6 13%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 66%
Biochemistry, Genetics and Molecular Biology 10 21%
Computer Science 1 2%
Medicine and Dentistry 1 2%
Unknown 4 9%

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 21 September 2012.
All research outputs
#9,905,307
of 12,372,276 outputs
Outputs from BMC Molecular Biology
#181
of 249 outputs
Outputs of similar age
#90,897
of 128,136 outputs
Outputs of similar age from BMC Molecular Biology
#1
of 2 outputs
Altmetric has tracked 12,372,276 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 249 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 16th percentile – i.e., 16% 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 128,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them