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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Photo-sensitive degron variants for tuning protein stability by light
|
|---|---|
| Published in |
BMC Systems Biology, November 2014
|
| DOI | 10.1186/s12918-014-0128-9 |
| Pubmed ID | |
| Authors |
Svetlana Usherenko, Hilke Stibbe, Massimiliano Muscó, Lars-Oliver Essen, Ekaterina A Kostina, Christof Taxis |
| Abstract |
Regulated proteolysis by the proteasome is one of the fundamental mechanisms used in eukaryotic cells to control cellular behavior. Efficient tools to regulate protein stability offer synthetic influence on molecular level on a selected biological process. Optogenetic control of protein stability has been achieved with the photo-sensitive degron (psd) module. This engineered tool consists of the photoreceptor domain light oxygen voltage 2 (LOV2) from Arabidopsis thaliana phototropin1 fused to a sequence that induces direct proteasomal degradation, which was derived from the carboxy-terminal degron of murine ornithine decarboxylase. The abundance of target proteins tagged with the psd module can be regulated by blue light if the degradation tag is exposed to the cytoplasm or the nucleus. |
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 % |
|---|---|---|
| Unknown | 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| China | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 127 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 31% |
| Researcher | 22 | 17% |
| Student > Master | 14 | 11% |
| Student > Bachelor | 13 | 10% |
| Student > Postgraduate | 7 | 5% |
| Other | 14 | 11% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 40% |
| Biochemistry, Genetics and Molecular Biology | 33 | 25% |
| Neuroscience | 6 | 5% |
| Chemistry | 6 | 5% |
| Chemical Engineering | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 21 | 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 01 June 2022.
All research outputs
#6,409,166
of 22,771,140 outputs
Outputs from BMC Systems Biology
#231
of 1,142 outputs
Outputs of similar age
#89,601
of 362,492 outputs
Outputs of similar age from BMC Systems Biology
#7
of 54 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 78% 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 362,492 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 74% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.