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Improving the yeast two-hybrid system with permutated fusions proteins: the Varicella Zoster Virus interactome

Overview of attention for article published in Proteome Science, February 2010
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  • Among the highest-scoring outputs from this source (#40 of 190)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
153 Mendeley
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Title
Improving the yeast two-hybrid system with permutated fusions proteins: the Varicella Zoster Virus interactome
Published in
Proteome Science, February 2010
DOI 10.1186/1477-5956-8-8
Pubmed ID
Authors

Thorsten Stellberger, Roman Häuser, Armin Baiker, Venkata R Pothineni, Jürgen Haas, Peter Uetz

Abstract

Yeast two-hybrid (Y2H) screens have been among the most powerful methods to detect and analyze protein-protein interactions. However, they suffer from a significant degree of false negatives, i.e. true interactions that are not detected, and to a certain degree from false positives, i.e. interactions that appear to take place only in the context of the Y2H assay. While the fraction of false positives remains difficult to estimate, the fraction of false negatives in typical Y2H screens is on the order of 70-90%. Here we present novel Y2H vectors that significantly decrease the number of false negatives and help to mitigate the false positive problem.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
France 2 1%
Netherlands 1 <1%
Germany 1 <1%
Portugal 1 <1%
Italy 1 <1%
Ireland 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Other 0 0%
Unknown 142 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 27%
Researcher 36 24%
Student > Bachelor 24 16%
Student > Master 14 9%
Student > Doctoral Student 5 3%
Other 13 8%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 52%
Biochemistry, Genetics and Molecular Biology 35 23%
Immunology and Microbiology 5 3%
Chemistry 4 3%
Medicine and Dentistry 3 2%
Other 7 5%
Unknown 20 13%
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 29 April 2016.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Proteome Science
#40
of 190 outputs
Outputs of similar age
#54,673
of 180,825 outputs
Outputs of similar age from Proteome Science
#3
of 5 outputs
Altmetric has tracked 22,785,242 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 190 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 57% 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 180,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.