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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-Scale Modeling of the Protein Secretory Machinery in Yeast
|
|---|---|
| Published in |
PLOS ONE, May 2013
|
| DOI | 10.1371/journal.pone.0063284 |
| Pubmed ID | |
| Authors |
Amir Feizi, Tobias Österlund, Dina Petranovic, Sergio Bordel, Jens Nielsen |
| Abstract |
The protein secretory machinery in Eukarya is involved in post-translational modification (PTMs) and sorting of the secretory and many transmembrane proteins. While the secretory machinery has been well-studied using classic reductionist approaches, a holistic view of its complex nature is lacking. Here, we present the first genome-scale model for the yeast secretory machinery which captures the knowledge generated through more than 50 years of research. The model is based on the concept of a Protein Specific Information Matrix (PSIM: characterized by seven PTMs features). An algorithm was developed which mimics secretory machinery and assigns each secretory protein to a particular secretory class that determines the set of PTMs and transport steps specific to each protein. Protein abundances were integrated with the model in order to gain system level estimation of the metabolic demands associated with the processing of each specific protein as well as a quantitative estimation of the activity of each component of the secretory machinery. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 3 | 2% |
| United States | 3 | 2% |
| Portugal | 1 | <1% |
| Austria | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| Unknown | 153 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 27% |
| Researcher | 34 | 21% |
| Student > Master | 20 | 12% |
| Student > Doctoral Student | 9 | 5% |
| Professor > Associate Professor | 7 | 4% |
| Other | 25 | 15% |
| Unknown | 24 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 40% |
| Biochemistry, Genetics and Molecular Biology | 37 | 23% |
| Engineering | 18 | 11% |
| Computer Science | 5 | 3% |
| Chemical Engineering | 3 | 2% |
| Other | 10 | 6% |
| Unknown | 26 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 January 2021.
All research outputs
#7,378,030
of 24,133,587 outputs
Outputs from PLOS ONE
#93,311
of 207,394 outputs
Outputs of similar age
#60,056
of 196,447 outputs
Outputs of similar age from PLOS ONE
#1,763
of 4,938 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 207,394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 54% 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 196,447 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 4,938 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 64% of its contemporaries.