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Global organization of protein complexome in the yeast Saccharomyces cerevisiae

Overview of attention for article published in BMC Systems Biology, August 2011
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Citations

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35 Mendeley
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Title
Global organization of protein complexome in the yeast Saccharomyces cerevisiae
Published in
BMC Systems Biology, August 2011
DOI 10.1186/1752-0509-5-126
Pubmed ID
Authors

Sang Hoon Lee, Pan-Jun Kim, Hawoong Jeong

Abstract

Proteins in organisms, rather than act alone, usually form protein complexes to perform cellular functions. We analyze the topological network structure of protein complexes and their component proteins in the budding yeast in terms of the bipartite network and its projections, where the complexes and proteins are its two distinct components. Compared to conventional protein-protein interaction networks, the networks from the protein complexes show more homogeneous structures than those of the binary protein interactions, implying the formation of complexes that cause a relatively more uniform number of interaction partners. In addition, we suggest a new optimization method to determine the abundance and function of protein complexes, based on the information of their global organization. Estimating abundance and biological functions is of great importance for many researches, by providing a quantitative description of cell behaviors, instead of just a "catalogues" of the lists of protein interactions. With our new optimization method, we present genome-wide assignments of abundance and biological functions for complexes, as well as previously unknown abundance and functions of proteins, which can provide significant information for further investigations in proteomics. It is strongly supported by a number of biologically relevant examples, such as the relationship between the cytoskeleton proteins and signal transduction and the metabolic enzyme Eno2's involvement in the cell division process. We believe that our methods and findings are applicable not only to the specific area of proteomics, but also to much broader areas of systems biology with the concept of optimization principle.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 9%
Sweden 1 3%
Italy 1 3%
Japan 1 3%
Spain 1 3%
Unknown 28 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 37%
Student > Ph. D. Student 8 23%
Professor 3 9%
Student > Master 3 9%
Other 2 6%
Other 7 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 54%
Physics and Astronomy 4 11%
Computer Science 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 1 3%
Other 5 14%
Unknown 1 3%
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 08 September 2011.
All research outputs
#14,134,869
of 22,649,029 outputs
Outputs from BMC Systems Biology
#544
of 1,142 outputs
Outputs of similar age
#80,485
of 120,296 outputs
Outputs of similar age from BMC Systems Biology
#12
of 37 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 120,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.