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Attention Score in Context
| Title |
Quantitation of Vacuolar Sugar Transporter Abundance Changes Using QconCAT Synthtetic Peptides
|
|---|---|
| Published in |
Frontiers in Plant Science, April 2016
|
| DOI | 10.3389/fpls.2016.00411 |
| Pubmed ID | |
| Authors |
Heidi Pertl-Obermeyer, Oliver Trentmann, Kerstin Duscha, H. Ekkehard Neuhaus, Waltraud X. Schulze |
| Abstract |
Measurements of protein abundance changes are important for biological conclusions on protein-related processes such as activity or complex formation. Proteomic analyses in general are almost routine tasks in many laboratories, but a precise and quantitative description of (absolute) protein abundance changes require careful experimental design and precise data quality. Today, a vast choice of metabolic labeling and label-free quantitation protocols are available, but the trade-off between quantitative precision and proteome coverage of quantified proteins including missing value problems remain. Here, we provide an example of a targeted proteomic approach using artificial standard proteins consisting of concatenated peptides of interest (QconCAT) to specifically quantify abiotic stress-induced abundance changes in low abundant vacuolar transporters. An advantage of this approach is the reliable quantitation of alimited set of low-abundant target proteins throughout different conditions. We show that vacuolar ATPase AVP1 and sugar transporters of the ERDL (early responsive to dehydration-like) family and TMT2 (tonoplast monosaccharide transporter 2) showed increased abundance upon salt stress. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 30% |
| Researcher | 3 | 13% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Lecturer | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 39% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Engineering | 2 | 9% |
| Unspecified | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 3 | 13% |
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 12 April 2016.
All research outputs
#20,318,358
of 22,860,626 outputs
Outputs from Frontiers in Plant Science
#16,117
of 20,227 outputs
Outputs of similar age
#254,967
of 300,876 outputs
Outputs of similar age from Frontiers in Plant Science
#359
of 485 outputs
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So far Altmetric has tracked 20,227 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.