Charting the Protein Complexome in Yeast by Mass Spectrometry *
Molecular & Cellular Proteomics, ISSN: 1535-9476, Vol: 1, Issue: 1, Page: 3-10
2002
- 35Citations
- 47Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations35
- Citation Indexes35
- 35
- CrossRef29
- Captures47
- Readers47
- 47
Article Description
It has become evident over the past few years that many complex cellular processes, including control of the cell cycle and ubiquitin-dependent proteolysis, are carried out by sophisticated multisubunit protein machines that are dynamic in abundance, post-translational modification state, and composition. To understand better the nature of the macromolecular assemblages that carry out the cell cycle and ubiquitin-dependent proteolysis, we have used mass spectrometry extensively over the past few years to characterize both the composition of various protein complexes and the modification states of their subunits. In this article we review some of our recent efforts, and describe a promising new approach for using mass spectrometry to dissect protein interaction networks.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1535947620346685; http://dx.doi.org/10.1074/mcp.r100001-mcp200; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0036047911&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/12096135; https://linkinghub.elsevier.com/retrieve/pii/S1535947620346685; http://www.mcponline.org/lookup/doi/10.1074/mcp.R100001-MCP200; https://syndication.highwire.org/content/doi/10.1074/mcp.R100001-MCP200; https://dx.doi.org/10.1074/mcp.r100001-mcp200
Elsevier BV
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