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Attention Score in Context
| Title |
Modeling RNA polymerase interaction in mitochondria of chordates
|
|---|---|
| Published in |
Biology Direct, August 2012
|
| DOI | 10.1186/1745-6150-7-26 |
| Pubmed ID | |
| Authors |
Vassily A Lyubetsky, Oleg A Zverkov, Sergey A Pirogov, Lev I Rubanov, Alexandr V Seliverstov |
| Abstract |
In previous work, we introduced a concept, a mathematical model and its computer realization that describe the interaction between bacterial and phage type RNA polymerases, protein factors, DNA and RNA secondary structures during transcription, including transcription initiation and termination. The model accurately reproduces changes of gene transcription level observed in polymerase sigma-subunit knockout and heat shock experiments in plant plastids. The corresponding computer program and a user guide are available at http://lab6.iitp.ru/en/rivals. Here we apply the model to the analysis of transcription and (partially) translation processes in the mitochondria of frog, rat and human. Notably, mitochondria possess only phage-type polymerases. We consider the entire mitochondrial genome so that our model allows RNA polymerases to complete more than one circle on the DNA strand. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 28% |
| Researcher | 4 | 22% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Master | 1 | 6% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 22% |
| Medicine and Dentistry | 3 | 17% |
| Agricultural and Biological Sciences | 2 | 11% |
| Psychology | 2 | 11% |
| Chemistry | 2 | 11% |
| Other | 0 | 0% |
| Unknown | 5 | 28% |
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 09 August 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Biology Direct
#487
of 537 outputs
Outputs of similar age
#167,096
of 184,945 outputs
Outputs of similar age from Biology Direct
#10
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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